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COURSES
name | description | authors | links | colaboratory | update |
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LLM Engineering Essentials course | 12-week course, created by experts from academia and industry, is designed specifically for developers and engineers | 08.05.2025 | |||
Deep Learning School course (ML + CV) | Nina Konovalova | 14.02.2025 | |||
Introduction to Deep Learning course | Tatiana Gaintseva | 24.01.2025 | |||
ARENA | Provide talented individuals with the skills, tools, and environment necessary for upskilling in ML engineering, for the purpose of contributing directly to AI alignment in technical roles | Callum McDougall | 30.12.2024 | ||
The Autodiff Cookbook | You'll go through a whole bunch of neat autodiff ideas that you can cherry pick for your own work, starting with the basics | 20.09.2024 | |||
Machine Learning Simplified | A Gentle Introduction to Supervised Learning | Andrew Wolf |
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29.08.2024 | |
Anthropic courses | Anthropic's educational courses | Anthropic | 22.08.2024 | ||
mlcourse.ai | Open Machine Learning Course | Yury Kashnitsky | 19.08.2024 | ||
Deep RL Course | The Hugging Face Deep Reinforcement Learning Course |
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24.06.2024 | ||
Generative AI for Beginners - A Course | A 12 Lesson course teaching everything you need to know to start building Generative AI applications | microsoft | 22.02.2024 | ||
DSP theory | Theory of digital signal processing: signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc | 18.10.2022 | |||
Machine learning course | This course is broad and shallow, but author will provide additional links so that you can deepen your understanding of the ML method you need | Тимчишин Віталій |
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02.09.2021 | |
NYU-DLSP20 | This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition |
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30.10.2019 |
RESEARCH
name | description | authors | links | colaboratory | update |
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Qwen2.5-Omni | End-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and video, while simultaneously generating text and natural speech responses in a streaming manner | 29.04.2025 | |||
SigLIP 2 | Family of new multilingual vision-language encoders that build on the success of the original SigLIP | 17.03.2025 | |||
STAR | Spatial Temporal Augmentation with T2V models for Real-world video super-resolution, a novel approach that leverages T2V models for real-world video super-resolution, achieving realistic spatial details and robust temporal consistency |
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22.01.2025 | ||
InvSR | Image super-resolution technique based on diffusion inversion, aiming at harnessing the rich image priors encapsulated in large pre-trained diffusion models to improve SR performance | 21.01.2025 | |||
ModernBERT | Bringing modern model optimizations to encoder-only models and representing a major Pareto improvement over older encoders | 22.12.2024 | |||
TAPIR | Tracking Any Point with per-frame Initialization and temporal Refinement | 30.11.2024 | |||
PuLID | Pure and Lightning ID customization, a tuning-free ID customization method for text-to-image generation | 09.11.2024 | |||
CoTracker | Architecture that jointly tracks multiple points throughout an entire video |
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16.10.2024 | ||
Segment Anything 2 | Foundation model towards solving promptable visual segmentation in images and videos |
others |
01.10.2024 | ||
Deep Painterly Harmonization | Algorithm produces significantly better results than photo compositing or global stylization techniques and that it enables creative painterly edits that would be otherwise difficult to achieve | 23.09.2024 | |||
audio2photoreal | Framework for generating full-bodied photorealistic avatars that gesture according to the conversational dynamics of a dyadic interaction | 13.09.2024 | |||
Fast Segment Anything | CNN Segment Anything Model trained using only 2% of the SA-1B dataset published by SAM authors | 10.09.2024 | |||
Neuralangelo | Framework for high-fidelity 3D surface reconstruction from RGB video captures | 02.09.2024 | |||
YOLOv10 | Aim to further advance the performance-efficiency boundary of YOLOs from both the post-processing and model architecture | 20.08.2024 | |||
SpecVQGAN | Taming the visually guided sound generation by shrinking a training dataset to a set of representative vectors |
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12.07.2024 | ||
LivePortrait | Video-driven portrait animation framework with a focus on better generalization, controllability, and efficiency for practical usage |
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10.07.2024 | ||
StoryDiffusion | Way of self-attention calculation, termed Consistent Self-Attention, that significantly boosts the consistency between the generated images and augments prevalent pretrained diffusion-based text-to-image models in a zero-shot manner | 04.05.2024 | |||
VoiceCraft | token infilling neural codec language model, that achieves state-of-the-art performance on both speech editing and zero-shot text-to-speech on audiobooks, internet videos, and podcasts |
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21.04.2024 | ||
ZeST | Method for zero-shot material transfer to an object in the input image given a material exemplar image |
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16.04.2024 | ||
InstantMesh | Feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability | 16.04.2024 | |||
Würstchen | Architecture for text-to-image synthesis that combines competitive performance with unprecedented cost-effectiveness for large-scale text-to-image diffusion models | 06.04.2024 | |||
AudioSep | Foundation model for open-domain audio source separation with natural language queries | 15.03.2024 | |||
AQLM | Extreme Compression of Large Language Models via Additive Quantization | 08.03.2024 | |||
YOLOv9 | Learning What You Want to Learn Using Programmable Gradient Information |
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05.03.2024 | ||
Multi-LoRA Composition | LoRA Switch and LoRA Composite, approaches that aim to surpass traditional techniques in terms of accuracy and image quality, especially in complex compositions | 03.03.2024 | |||
AMARETTO | Multiscale and multimodal inference of regulatory networks to identify cell circuits and their drivers shared and distinct within and across biological systems of human disease | 28.02.2024 | |||
ViT | Vision Transformer and MLP-Mixer Architectures |
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06.02.2024 | ||
Qwen | Comprehensive language model series that encompasses distinct models with varying parameter counts | qwenlm | 30.01.2024 | ||
VALL-E X | Cross-lingual neural codec language model for cross-lingual speech synthesis | 19.01.2024 | |||
PhotoMaker | Efficient personalized text-to-image generation method, which mainly encodes an arbitrary number of input ID images into a stack ID embedding for preserving ID information |
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18.01.2024 | ||
DDColor | End-to-end method with dual decoders for image colorization | 15.01.2024 | |||
PASD | Pixel-aware stable diffusion network to achieve robust Real-ISR as well as personalized stylization | 12.01.2024 | |||
HandRefiner | Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting | 08.01.2024 | |||
LLaVA | Large Language and Vision Assistant, an end-to-end trained large multimodal model that connects a vision encoder and LLM for general-purpose visual and language understanding | 22.12.2023 | |||
SMPLer-X | Scaling up EHPS towards the first generalist foundation model, with up to ViT-Huge as the backbone and training with up to 4.5M instances from diverse data sources |
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18.12.2023 | ||
DeepCache | Training-free paradigm that accelerates diffusion models from the perspective of model architecture | 18.12.2023 | |||
MagicAnimate | Diffusion-based framework that aims at enhancing temporal consistency, preserving reference image faithfully, and improving animation fidelity | 18.12.2023 | |||
DiffBIR | Towards Blind Image Restoration with Generative Diffusion Prior | 18.12.2023 | |||
Segment and Track Anything | Framewoork that allows users to precisely and effectively segment and track any object in a video | 08.12.2023 | |||
AudioLDM | Text-to-audio system that is built on a latent space to learn the continuous audio representations from contrastive language-audio pretraining latents |
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02.12.2023 | ||
TabPFN | Neural network that learned to do tabular data prediction |
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29.11.2023 | ||
Concept Sliders | Plug-and-play low rank adaptors applied on top of pretrained models |
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26.11.2023 | ||
Qwen-VL | Set of large-scale vision-language models designed to perceive and understand both text and images |
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24.11.2023 | ||
PixArt-Σ | Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation |
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07.11.2023 | ||
Zero123++ | Image-conditioned diffusion model for generating 3D-consistent multi-view images from a single input view | 26.10.2023 | |||
Show-1 | Hybrid model, dubbed as Show-1, which marries pixel-based and latent-based VDMs for text-to-video generation |
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15.10.2023 | ||
DA-CLIP | Degradation-aware vision-language model to better transfer pretrained vision-language models to low-level vision tasks as a universal framework for image restoration | 11.10.2023 | |||
Musika | Music generation system that can be trained on hundreds of hours of music using a single consumer GPU, and that allows for much faster than real-time generation of music of arbitrary length on a consumer CPU | 09.10.2023 | |||
YOLOv6 | Single-stage object detection framework dedicated to industrial applications | 08.10.2023 | |||
DreamGaussian | Algorithm to convert 3D Gaussians into textured meshes and apply a fine-tuning stage to refine the details |
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04.10.2023 | ||
DINOv2 | Produce high-performance visual features that can be directly employed with classifiers as simple as linear layers on a variety of computer vision tasks; these visual features are robust and perform well across domains without any requirement for fine-tuning |
others |
31.08.2023 | ||
StyleGAN 3 | Alias-Free Generative Adversarial Networks |
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13.08.2023 | ||
Big GAN | Large Scale GAN Training for High Fidelity Natural Image Synthesis | 03.08.2023 | |||
CutLER | Simple approach for training unsupervised object detection and segmentation models |
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24.07.2023 | ||
Recognize Anything & Tag2Text | Vision language pre-training framework, which introduces image tagging into vision-language models to guide the learning of visual-linguistic features | 09.07.2023 | |||
MobileSAM | Towards Lightweight SAM for Mobile Applications | 30.06.2023 | |||
Grounding DINO | Marrying DINO with Grounded Pre-Training for Open-Set Object Detection | 28.06.2023 | |||
T5X | Modular, composable, research-friendly framework for high-performance, configurable, self-service training, evaluation, and inference of sequence models at many scales |
others |
27.06.2023 | ||
Gen-L-Video | Extending off-the-shelf short video diffusion models for generating and editing videos comprising hundreds of frames with diverse semantic segments without introducing additional training, all while preserving content consistency |
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04.06.2023 | ||
First Order Motion Model for Image Animation | Transferring facial movements from video to image | Aliaksandr Siarohin | 04.06.2023 | ||
MMS | The Massively Multilingual Speech project expands speech technology from about 100 languages to over 1000 by building a single multilingual speech recognition model supporting over 1100 languages, language identification models able to identify over 4000 languages, pretrained models supporting over 1400 languages, and text-to-speech models for over 1100 languages | 26.05.2023 | |||
FAB | Flow AIS Bootstrap uses AIS to generate samples in regions where the flow is a poor approximation of the target, facilitating the discovery of new modes | 29.04.2023 | |||
CodeFormer | Transformer-based prediction network to model global composition and context of the low-quality faces for code prediction, enabling the discovery of natural faces that closely approximate the target faces even when the inputs are severely degraded |
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21.04.2023 | ||
Segment Anything | The Segment Anything Model produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image | 10.04.2023 | |||
EVA3D | High-quality unconditional 3D human generative model that only requires 2D image collections for training | 06.04.2023 | |||
Stable Dreamfusion | Using a pretrained 2D text-to-image diffusion model to perform text-to-3D synthesis |
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04.04.2023 | ||
Visual ChatGPT | Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting | 15.03.2023 | |||
GPEN | GAN Prior Embedded Network for Blind Face Restoration in the Wild |
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15.02.2023 | ||
Disco Diffusion | A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations | 11.02.2023 | |||
GrooVAE | Some applications of machine learning for generating and manipulating beats and drum performances | 02.02.2023 | |||
Multitrack MusicVAE | The models in this notebook are capable of encoding and decoding single measures of up to 8 tracks, optionally conditioned on an underlying chord | 02.02.2023 | |||
MusicVAE | A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music | 02.02.2023 | |||
LORA | Low-Rank Adaptation, which freezes the pre-trained model weights and injects trainable rank decomposition matrices into each layer of the Transformer architecture, greatly reducing the number of trainable parameters for downstream tasks | 30.01.2023 | |||
Fourier Feature Networks | Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains |
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17.01.2023 | ||
Demucs | Hybrid Spectrogram and Waveform Source Separation | Alexandre Défossez | 21.11.2022 | ||
MotionDiffuse | The first diffusion model-based text-driven motion generation framework, which demonstrates several desired properties over existing methods | 13.10.2022 | |||
PyMAF | Pyramidal Mesh Alignment Feedback loop in regression network for well-aligned body mesh recovery and extend it for the recovery of expressive full-body models |
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06.10.2022 | ||
Functa | From data to functa: Your data point is a function and you can treat it like one | 24.09.2022 | |||
Whisper | Automatic speech recognition system trained on 680,000 hours of multilingual and multitask supervised data collected from the web |
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21.09.2022 | ||
DeOldify (video) | Colorize your own videos! | Jason Antic | 19.09.2022 | ||
DeOldify (photo) | Colorize your own photos! | 19.09.2022 | |||
Decision Transformers | An architecture that casts the problem of RL as conditional sequence modeling |
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06.09.2022 | ||
textual-inversion | An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion | 21.08.2022 | |||
Make-A-Scene | Scene-Based Text-to-Image Generation with Human Priors | 12.08.2022 | |||
YOLOv7 | Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors | 09.08.2022 | |||
OPT | Open Pre-trained Transformers is a family of NLP models trained on billions of tokens of text obtained from the internet |
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29.06.2022 | ||
Customizing a Transformer Encoder | We will learn how to customize the encoder to employ new network architectures | Chen Chen | 22.06.2022 | ||
SimCTG | Contrastive training objective to calibrate the model's representation space, and a decoding method -- contrastive search -- to encourage diversity while maintaining coherence in the generated text | 04.06.2022 | |||
T0 | Multitask Prompted Training Enables Zero-Shot Task Generalization |
others |
29.05.2022 | ||
Text2Mesh | Text-Driven Neural Stylization for Meshes | 14.05.2022 | |||
T5 | Text-To-Text Transfer Transformer | 11.05.2022 | |||
XLS-R | Self-supervised Cross-lingual Speech Representation Learning at Scale | 10.05.2022 | |||
MAGIC | Training-free framework, iMAge-Guided text generatIon with CLIP, for plugging in visual controls in the generation process and enabling LMs to perform multimodal tasks in a zero-shot manner | 02.05.2022 | |||
DiffCSE | Unsupervised contrastive learning framework for learning sentence embeddings | 24.04.2022 | |||
ViDT+ | An Extendable, Efficient and Effective Transformer-based Object Detector | 20.04.2022 | |||
GP-UNIT | Novel framework, Generative Prior-guided UNsupervised Image-to-image Translation, to improve the overall quality and applicability of the translation algorithm | 02.04.2022 | |||
CLIPasso | Semantically-Aware Object Sketching | 21.03.2022 | |||
Disentangled Lifespan Face Synthesis | LFS model is proposed to disentangle the key face characteristics including shape, texture and identity so that the unique shape and texture age transformations can be modeled effectively | 22.02.2022 | |||
ClipCap | CLIP Prefix for Image Captioning | 15.02.2022 | |||
Pose with Style | Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN | 19.01.2022 | |||
diffsort | Differentiable Sorting Networks | 17.01.2022 | |||
GLIDE | Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | 22.12.2021 | |||
SOAT | StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN | 13.11.2021 | |||
Arnheim | Generative Art Using Neural Visual Grammars and Dual Encoders | 11.11.2021 | |||
GPT-2 | Retrain an advanced text generating neural network on any text dataset using gpt-2-simple! | Max Woolf | 18.10.2021 | ||
ConvMixer | An extremely simple model that is similar in spirit to the ViT and the even-more-basic MLP-Mixer in that it operates directly on patches as input, separates the mixing of spatial and channel dimensions, and maintains equal size and resolution throughout the network | 06.10.2021 | |||
IC-GAN | Instance-Conditioned GAN |
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01.10.2021 | ||
VITS | Parallel end-to-end TTS method that generates more natural sounding audio than current two-stage models | 23.08.2021 | |||
CogView | Mastering Text-to-Image Generation via Transformers |
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21.06.2021 | ||
GANs N' Roses | Stable, Controllable, Diverse Image to Image Translation | 19.06.2021 | |||
Score SDE | Score-Based Generative Modeling through Stochastic Differential Equations | 18.03.2021 | |||
Talking Head Anime from a Single Image | The network takes as input an image of an anime character's face and a desired pose, and it outputs another image of the same character in the given pose | Pramook Khungurn |
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23.02.2021 | |
NFNet | An adaptive gradient clipping technique, a significantly improved class of Normalizer-Free ResNets | 17.02.2021 | |||
CLIP | A neural network which efficiently learns visual concepts from natural language supervision | 29.01.2021 | |||
Adversarial Patch | A method to create universal, robust, targeted adversarial image patches in the real world | Tom Brown | 27.01.2021 | ||
MusicXML Documentation | The goal of this notebook is to explore one of the magenta libraries for music | 08.01.2021 | |||
Neural Magic Eye | Learning to See and Understand the Scene Behind an Autostereogram | 01.01.2021 | |||
SIREN | Implicit Neural Representations with Periodic Activation Functions | 25.06.2020 | |||
Onsets and Frames | Onsets and Frames is an automatic music transcription framework with piano and drums models | 02.04.2020 | |||
FBA Matting | Low-cost modification to alpha matting networks to also predict the foreground and background colours | 19.03.2020 | |||
BERT score | An automatic evaluation metric for text generation | Tianyi Zhang | 05.03.2020 | ||
ProxylessNAS | Directly learn the architectures for large-scale target tasks and target hardware platforms | 29.10.2019 | |||
Generating Piano Music with Transformer | This Colab notebook lets you play with pretrained Transformer models for piano music generation, based on the Music Transformer | 16.09.2019 | |||
GANSynth | This notebook is a demo GANSynth, which generates audio with Generative Adversarial Networks | Jesse Engel |
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25.02.2019 | |
Latent Constraints | Conditional Generation from Unconditional Generative Models | 27.11.2017 | |||
Performance RNN | This notebook shows you how to generate new performed compositions from a trained model | 11.07.2017 | |||
NSynth | This colab notebook has everything you need to upload your own sounds and use NSynth models to reconstruct and interpolate between them | 06.04.2017 |
TUTORIALS
name | description | authors | links | colaboratory | update |
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YOLOv8 | State-of-the-art model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility | Glenn Jocher | 01.05.2025 | ||
dm_control | DeepMind Infrastructure for Physics-Based Simulation |
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30.04.2025 | ||
MuJoCo | A general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment |
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30.04.2025 | ||
Optimum | Extension of Transformers and Diffusers, providing a set of optimization tools enabling maximum efficiency to train and run models on targeted hardware, while keeping things easy to use | Hugging Face | 29.04.2025 | ||
Ray | Unified framework for scaling AI and Python applications |
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29.04.2025 | ||
verl | HybridFlow, which combines single-controller and multi-controller paradigms in a hybrid manner to enable flexible representation and efficient execution of the RLHF dataflow | 29.04.2025 | |||
LangGraph | Library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows | William FH | 25.04.2025 | ||
Brax | A differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators | 22.04.2025 | |||
Opik | From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards | Jacques Verré |
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21.04.2025 | |
YOLOv3 | You Only Look Once | Glenn Jocher |
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18.04.2025 | |
YOLOv5 | You Only Look Once | Glenn Jocher |
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18.04.2025 | |
Giskard | Open-source library to detect hallucinations and security issues to turn them into test suites that you can automatically execute | 16.04.2025 | |||
AutoGen | Framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks | microsoft | 15.04.2025 | ||
Evidently | An open-source framework to evaluate, test and monitor ML models in production | 08.04.2025 | |||
Llama 4 | Open-weight natively multimodal models with unprecedented context length support and our first built using a MoE architecture | meta | 07.04.2025 | ||
Agent Starter Pack | Collection of production-ready Generative AI Agent templates built for Google Cloud | Kristopher Overholt | 31.03.2025 | ||
Vertex AI | Search brings together the power of deep information retrieval, state-of-the-art natural language processing, and the latest in LLM processing to understand user intent and return the most relevant results for the user | Megha Agarwal |
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31.03.2025 | |
xFormers | Toolbox to Accelerate Research on Transformers | 25.03.2025 | |||
SkyThought | Train your own O1 preview model within $450 | Sumanth Hegde | 20.03.2025 | ||
Sentence Transformers | Multilingual Sentence, Paragraph, and Image Embeddings using BERT & Co | 07.03.2025 | |||
Crawl4AI | LLM Friendly Web Crawler & Scrapper | UncleCode | 28.02.2025 | ||
LangChain | Framework for developing applications powered by large language models | Bagatur | 25.02.2025 | ||
LM Evaluation Harness | Framework for few-shot evaluation of language models. | Lintang Sutawika |
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21.02.2025 | |
Multimodal Maestro | Gives you more control over large multimodal models to get the outputs you want | Piotr Skalski | 18.02.2025 | ||
YuE | Groundbreaking series of open-source foundation models designed for music generation, specifically for transforming lyrics into full songs | Mozer |
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16.02.2025 | |
Datasets | A Community Library for Natural Language Processing |
others |
13.02.2025 | ||
moondream | Tiny vision language model that kicks ass and runs anywhere | Vik Korrapati |
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06.02.2025 | |
VC | Client software for performing real-time voice conversion using various Voice Conversion AI | w-okada | 30.01.2025 | ||
Building Your Own Federated Learning Algorithm | We discuss how to implement federated learning algorithms without deferring to the tff.learning API | Zachary Charles | 29.01.2025 | ||
Federated Learning for Image Classification | We use the classic MNIST training example to introduce the Federated Learning API layer of TFF, tff.learning - a set of higher-level interfaces that can be used to perform common types of federated learning tasks, such as federated training, against user-supplied models implemented in TensorFlow | Krzysztof Ostrowski |
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29.01.2025 | |
Federated Learning for Text Generation | We start with a RNN that generates ASCII characters, and refine it via federated learning | Krzysztof Ostrowski | 29.01.2025 | ||
Custom Federated Algorithms, Part 1: Introduction to the Federated Core | This tutorial is the first part of a two-part series that demonstrates how to implement custom types of federated algorithms in TensorFlow Federated using the Federated Core - a set of lower-level interfaces that serve as a foundation upon which we have implemented the Federated Learning layer | Krzysztof Ostrowski | 29.01.2025 | ||
Custom Federated Algorithms, Part 2: Implementing Federated Averaging | This tutorial is the second part of a two-part series that demonstrates how to implement custom types of federated algorithms in TFF using the Federated Core, which serves as a foundation for the Federated Learning layer | Krzysztof Ostrowski | 29.01.2025 | ||
CodeGemma | How to load, fine-tune and deploy CodeGemma model on SQL by utilising Hugging Face | Carlo Fisicaro | 22.01.2025 | ||
Invariant Agent Stack | Framework-less approach that currently consists of three key projects, each of which can be used independently or in combination to build, test, and secure AI agents | Fei Xie | 20.01.2025 | ||
Ollama | Get up and running with large language models | Michael Yang |
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13.01.2025 | |
NotebookLlama | Open Source version of NotebookLM | Sanyam Bhutani | 09.01.2025 | ||
Anomalib | Deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets |
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08.01.2025 | ||
Hello, many worlds | This tutorial shows how a classical neural network can learn to correct qubit calibration errors | Michael Broughton | 04.01.2025 | ||
LightAutoML | Allows you create machine learning models using just a few lines of code, or build your own custom pipeline using ready blocks |
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22.12.2024 | ||
TorchGeo | PyTorch domain library that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data | 19.12.2024 | |||
Langfun | PyGlove powered library that aims to make language models fun to work with | Daiyi Peng | 16.12.2024 | ||
ComfyUI | Powerful and modular stable diffusion GUI and backend | comfyanonymous | 13.12.2024 | ||
TransformerLens | Library for doing mechanistic interpretability of GPT-2 Style language models | 09.12.2024 | |||
Supervision | Reusable computer vision tools | Piotr Skalski |
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05.12.2024 | |
XManager | Framework for managing machine learning experiment | Andrew Chen | 05.12.2024 | ||
Flax | Neural network library and ecosystem for JAX designed for flexibility | 05.12.2024 | |||
Haiku | A library built on top of JAX designed to provide simple, composable abstractions for machine learning research | 05.12.2024 | |||
SGLang | Fast serving framework for large language models and vision language models | 05.12.2024 | |||
SAE Lens | Training Sparse Autoencoders on Language Models | 03.12.2024 | |||
Feast | An open source feature store for machine learning |
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22.11.2024 | ||
FiftyOne | Open-source tool for building high-quality datasets and computer vision models | 21.11.2024 | |||
CatBoost | High-performance open source library for gradient boosting on decision trees |
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18.11.2024 | ||
Llama 3.1 | First openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation | unsloth |
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17.11.2024 | |
Mistral Small | Enterprise-grade small model | unsloth | 17.11.2024 | ||
DPO Zephyr | Starting from a dataset of outputs ranked by a teacher model, we apply distilled direct preference optimization to learn a chat model with significantly improved intent alignment | 17.11.2024 | |||
ORPO | Get up and running with large language models | 17.11.2024 | |||
Phi-3.5 | 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3.5, despite being small enough to be deployed on a phone | unsloth | 17.11.2024 | ||
Simple audio recognition | This tutorial will show you how to build a basic speech recognition network that recognizes ten different words | 15.11.2024 | |||
High-performance simulations with TFF | This tutorial will describe how to setup high-performance simulations with TFF in a variety of common scenarios | Krzysztof Ostrowski | 01.11.2024 | ||
Autodistill | Uses big, slower foundation models to train small, faster supervised models | autodistill |
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01.11.2024 | |
Swarm | Educational framework exploring ergonomic, lightweight multi-agent orchestration | 15.10.2024 | |||
TRL | Set of tools to train transformer language models with Reinforcement Learning, from the Supervised Fine-tuning step, Reward Modeling step to the Proximal Policy Optimization step | 24.09.2024 | |||
TFX | End-to-end platform for deploying production ML pipelines | 18.09.2024 | |||
TFDV | TensorFlow Data Validation is a library for exploring and validating machine learning data |
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18.09.2024 | ||
PEFT | Parameter-Efficient Fine-Tuning methods enable efficient adaptation of pre-trained language models to various downstream applications without fine-tuning all the model's parameters |
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13.09.2024 | ||
SAA+ | Framework, Segment Any Anomaly +, for zero-shot anomaly segmentation with hybrid prompt regularization to improve the adaptability of modern foundation models | 13.09.2024 | |||
TensorRT | SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications | nvidia | 12.09.2024 | ||
guidance | Enables you to control modern language models more effectively and efficiently than traditional prompting or chaining | Scott Lundberg |
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09.09.2024 | |
Arena-Hard-Auto | Automated pipeline that leverages LLMs to curate high-quality, open-ended prompts from large, crowd-sourced datasets, enabling continuous benchmark updates without human in the loop | 09.09.2024 | |||
DataChain | AI-dataframe to enrich, transform and analyze data from cloud storages for ML training and LLM apps | Daniel K | 09.09.2024 | ||
TFF for Federated Learning Research: Model and Update Compression | We use the EMNIST dataset to demonstrate how to enable lossy compression algorithms to reduce communication cost in the Federated Averaging algorithm | Weikang Song | 05.09.2024 | ||
LlamaIndex | Data framework for your LLM application | Jerry Liu |
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05.09.2024 | |
Deforum Stable Diffusion | Open source project is designed to be free to use and easy to modify for custom needs and pipelines |
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30.08.2024 | ||
Nerfstudio | API that allows for a simplified end-to-end process of creating, training, and testing NeRFs |
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19.08.2024 | ||
highway-env | A collection of environments for autonomous driving and tactical decision-making tasks | Edouard Leurent | 09.08.2024 | ||
GNN | Production-tested library for building GNNs at large scale |
others |
09.08.2024 | ||
Image classification | This tutorial shows how to classify images of flowers | Billy Lamberta | 24.07.2024 | ||
Kor | Half-baked prototype that "helps" you extract structured data from text using LLMs | Eugene Yurtsev | 20.07.2024 | ||
Mistral Inference | Minimal code to run Mistral models | mistral | 16.07.2024 | ||
XLand-MiniGrid | Suite of tools and grid-world environments for meta-reinforcement learning research | 12.07.2024 | |||
PyTorch3D | Library for deep learning with 3D data | 11.07.2024 | |||
Stable Diffusion Videos | Create videos with Stable Diffusion by exploring the latent space and morphing between text prompts | Nathan Raw | 11.07.2024 | ||
Presidio | Context aware, pluggable and customizable PII de-identification service for text and images | Omri Mendels | 10.07.2024 | ||
Transfer learning and fine-tuning | You will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network | François Chollet | 26.06.2024 | ||
MARS5 | Speech model for insane prosody | Matthew Baas |
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25.06.2024 | |
ToonCrafter | Can interpolate two cartoon images by leveraging the pre-trained image-to-video diffusion priors |
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20.06.2024 | ||
DiffSynth | Restructured architectures including Text Encoder, UNet, VAE, among others, maintaining compatibility with models from the open-source community while enhancing computational performance | Artiprocher | 06.06.2024 | ||
Transformer | This tutorial trains a Transformer model to translate Portuguese to English |
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31.05.2024 | ||
NeMo | A conversational AI toolkit built for researchers working on automatic speech recognition, natural language processing, and text-to-speech synthesis | 25.05.2024 | |||
SentencePiece | An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training | 21.05.2024 | |||
Llama3 from scratch | Llama3 from scratch, one tensor and matrix multiplication at a time | Nishant Aklecha | 19.05.2024 | ||
IC-Light | Manipulate the illumination of images | 09.05.2024 | |||
Neural style transfer | This tutorial uses deep learning to compose one image in the style of another image | 06.05.2024 | |||
Autoencoders | This tutorial introduces autoencoders with three examples: the basics, image denoising, and anomaly detection | Billy Lamberta | 15.04.2024 | ||
MagicTime | Metamorphic time-lapse video generation model, which learns real-world physics knowledge from time-lapse videos and implements metamorphic generation |
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14.04.2024 | ||
SAGE | Methodology for generative spelling correction, which was tested on English and Russian languages and potentially can be extended to any language with minor changes | 11.04.2024 | |||
Open-Sora Plan | Simple and efficient design along with remarkable performance in text-to-video generation | YUAN Lab at PKU | 07.04.2024 | ||
AniPortrait | Framework for generating high-quality animation driven by audio and a reference portrait image | 27.03.2024 | |||
OpenVINO | Open-source toolkit for optimizing and deploying AI inference | intel | 25.03.2024 | ||
Google Generative AI | Documentation for Google's Gen AI site - including the Gemini API and Gemma |
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22.03.2024 | ||
Gazelle | Joint Speech Language Model | Chris Hua | 20.03.2024 | ||
Intel® Extension for Transformers | Transformer-based Toolkit to Accelerate GenAI/LLM Everywhere | intel | 19.03.2024 | ||
Instructor | Library that makes it a breeze to work with structured outputs from large language models | Jason Liu | 13.03.2024 | ||
MetaVoice | 1.2B parameter base model trained on 100K hours of speech for TTS | MetaVoice |
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26.02.2024 | |
OmegaConf | Hierarchical configuration system, with support for merging configurations from multiple sources providing a consistent API regardless of how the configuration was created | Omry Yadan | 15.02.2024 | ||
Optuna | An automatic hyperparameter optimization software framework, particularly designed for machine learning |
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15.02.2024 | ||
Data augmentation | This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random transformations such as image rotation | Billy Lamberta | 14.02.2024 | ||
Stable Cascade | Text to image model introduces an interesting three-stage approach, setting new benchmarks for quality, flexibility, fine-tuning, and efficiency with a focus on further eliminating hardware barriers | Stability AI |
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14.02.2024 | |
CleanVision | Automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc | Sanjana | 13.02.2024 | ||
DynamiCrafter | Animating Open-domain Images with Video Diffusion Priors |
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12.02.2024 | ||
XLA | Accelerated Linear Algebra is an open-source machine learning compiler for GPUs, CPUs, and ML accelerators | George Karpenkov | 02.02.2024 | ||
Composer | PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy | The Mosaic ML Team | 01.02.2024 | ||
Transformer Engine | Library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point precision on Hopper, Ada, and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference | 19.01.2024 | |||
Integrated gradients | This tutorial demonstrates how to implement Integrated Gradients, an Explainable AI technique |
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17.01.2024 | ||
MAGNeT | Masked generative sequence modeling method that operates directly over several streams of audio tokens |
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16.01.2024 | ||
AutoFaiss | Automatically create Faiss knn indices with the most optimal similarity search parameters | Romain Beaumont | 12.01.2024 | ||
Retrieval based Voice Conversion WebUI | An easy-to-use Voice Conversion framework based on VITS | 源文雨 | 11.01.2024 | ||
Big Vision | This codebase is designed for training large-scale vision models using Cloud TPU VMs or GPU machines | 03.01.2024 | |||
Open Interpreter | An open-source, locally running implementation of OpenAI's Code Interpreter | Killian Lucas |
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03.01.2024 | |
Seamless Communication | Family of AI models that enable more natural and authentic communication across languages |
others |
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14.12.2023 | |
CleanRL | Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features |
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28.11.2023 | ||
Vocos | Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis | Hubert Siuzdak | 21.11.2023 | ||
X—LLM | Easy LLM Finetuning using the most advanced methods | Boris Zubarev | 15.11.2023 | ||
Distil-Whisper | Maintains the robustness of the Whisper model to difficult acoustic conditions, while being less prone to hallucination errors on long-form audio | 08.11.2023 | |||
AnimateDiff | Practical framework to animate most of the existing personalized text-to-image models once and for all, saving efforts in model-specific tuning |
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30.10.2023 | ||
Intel® Neural Compressor | Aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as TensorFlow, PyTorch, ONNX Runtime, and MXNet, as well as Intel extensions such as Intel Extension for TensorFlow and Intel Extension for PyTorch | intel | 27.10.2023 | ||
Bark | Transformer-based text-to-audio model | suno |
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25.10.2023 | |
Mistral Transformer | The most powerful language model for its size to date |
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09.10.2023 | ||
Fooocus | Image generating software | Lvmin Zhang | 03.10.2023 | ||
Actor-Critic | This tutorial demonstrates how to implement the Actor-Critic method using TensorFlow to train an agent on the Open AI Gym CartPole-V0 environment |
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28.09.2023 | ||
LiteLLM | Call all LLM APIs using the OpenAI format [Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, Groq etc.] |
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23.09.2023 | ||
MMagic | AIGC toolbox for professional AI researchers and machine learning engineers to explore image and video processing, editing and generation | OpenMMLab | 11.09.2023 | ||
SeqIO | Library for processing sequential data to be fed into downstream sequence models |
others |
08.09.2023 | ||
MMAction2 | An open-source toolbox for video understanding based on PyTorch | MMAction2 Contributors | 06.09.2023 | ||
Home Robot | Low-level API for controlling various home robots | Chris Paxton | 30.08.2023 | ||
Neural Tangents | Library designed to enable research into infinite-width neural networks |
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29.08.2023 | ||
Stable Diffusion 2 | New stable diffusion model at 768x768 resolution. Same number of parameters in the U-Net as 1.5, but uses OpenCLIP-ViT/H as the text encoder and is trained from scratch | 26.08.2023 | |||
DALL·E Mini | Generate images from a text prompt | 22.08.2023 | |||
Kandinsky 2.1 | As text and image encoder it uses CLIP model and diffusion image prior between latent spaces of CLIP modalities | 07.08.2023 | |||
Stable Diffusion web UI | A web interface for Stable Diffusion, implemented using Gradio library | AUTOMATIC1111 | 05.08.2023 | ||
SoftVC VITS | Singing Voice Conversion | svc develop team | 31.07.2023 | ||
threestudio | Unified framework for 3D content creation from text prompts, single images, and few-shot images, by lifting 2D text-to-image generation models | 28.07.2023 | |||
Image captioning | Given an image our goal is to generate a caption | 25.07.2023 | |||
Word2Vec | Word2Vec is not a singular algorithm, rather, it is a family of model architectures and optimizations that can be used to learn word embeddings from large datasets | 25.07.2023 | |||
Word embeddings | This tutorial contains an introduction to word embeddings | Billy Lamberta | 25.07.2023 | ||
Tortoise | A multi-voice TTS system trained with an emphasis on quality | James Betker |
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15.07.2023 | |
Petals | Run 100B+ language models at home, BitTorrent-style | BigScience |
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05.07.2023 | |
Epistemic Neural Networks | A library for neural networks that know what they don't know | 27.06.2023 | |||
DeepFloyd IF | State-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding |
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26.06.2023 | ||
normflows | PyTorch implementation of discrete normalizing flows | 26.06.2023 | |||
MMPose | Toolbox for pose estimation based on PyTorch | OpenMMLab | 19.06.2023 | ||
MyoSuite | A collection of musculoskeletal environments and tasks simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API to enable the application of Machine Learning to bio-mechanic control problems | 16.06.2023 | |||
Audiocraft | PyTorch library for deep learning research on audio generation |
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11.06.2023 | ||
Detectron2 | FAIR's next-generation platform for object detection and segmentation | Yuxin Wu | 26.05.2023 | ||
Reverb | Efficient and easy-to-use data storage and transport system designed for machine learning research | 23.05.2023 | |||
MMDetection | Open source object detection toolbox based on PyTorch | OpenMMLab | 17.05.2023 | ||
ChatRWKV | Like ChatGPT but powered by RWKV (100% RNN) language model, which is the only RNN that can match transformers in quality and scaling, while being faster and saves VRAM |
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08.05.2023 | ||
PyGlove | General-purpose library for Python object manipulation | 06.05.2023 | |||
Python Data Science Handbook | Jupyter notebook version of the Python Data Science Handbook by Jake VanderPlas | Jake Vanderplas | 06.05.2023 | ||
PGMax | General factor graphs for discrete probabilistic graphical models, and hardware-accelerated differentiable loopy belief propagation in JAX | 05.05.2023 | |||
StableLM | Stability AI Language Models | Stability AI |
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27.04.2023 | |
TTS | A library for advanced Text-to-Speech generation, built on the latest research, was designed to achieve the best trade-off among ease-of-training, speed and quality | 26.04.2023 | |||
OpenCLIP | An open source implementation of CLIP | 16.04.2023 | |||
Stable Baselines3 | Set of reliable implementations of reinforcement learning algorithms in PyTorch |
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14.04.2023 | ||
RL Baselines3 Zoo | Training Framework for Stable Baselines3 Reinforcement Learning Agents | Antonin Raffin | 14.04.2023 | ||
Grounded-SAM | Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect, Segment and Generate Anything | IDEA-Research | 12.04.2023 | ||
TFDS | Collection of ready-to-use datasets for use with TensorFlow, Jax, and other Machine Learning frameworks | Ryan Sepassi | 11.04.2023 | ||
MMSegmentation | Open source semantic segmentation toolbox based on PyTorch | OpenMMLab | 31.03.2023 | ||
LAVIS | Python deep learning library for LAnguage-and-VISion intelligence research and applications |
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24.03.2023 | ||
pymdp | Package for simulating Active Inference agents in Markov Decision Process environments | 19.03.2023 | |||
MMSelfSup | Open-source framework for visual pre-training | 14.03.2023 | |||
Tzer | Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation | 09.03.2023 | |||
ArtLine | A Deep Learning based project for creating line art portraits | Vijish Madhavan |
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03.03.2023 | |
AmpliGraph | A suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs | 23.02.2023 | |||
NMT with attention | This notebook trains a seq2seq model for Spanish to English translation |
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15.02.2023 | ||
GLUE using BERT on TPU | This tutorial contains complete end-to-end code to train models on a TPU | Anirudh Dubey |
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15.02.2023 | |
TensorBoard | Suite of web applications for inspecting and understanding your TensorFlow runs and graphs | Yuan Tang |
|
10.02.2023 | |
High-performance Simulation with Kubernetes | This tutorial will describe how to set up high-performance simulation using a TFF runtime running on Kubernetes | Jason Roselander | 31.01.2023 | ||
Compel | Text prompt weighting and blending library for transformers-type text embedding systems | Damian Stewart | 26.01.2023 | ||
DALL·E Flow | An interactive workflow for generating high-definition images from text prompt | 26.01.2023 | |||
Diffusers | Provides pretrained diffusion models across multiple modalities, such as vision and audio, and serves as a modular toolbox for inference and training of diffusion models | Hugging Face | 17.01.2023 | ||
Sample Factory | One of the fastest RL libraries focused on very efficient synchronous and asynchronous implementations of policy gradients | 17.01.2023 | |||
Open-Assistant | Chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so |
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14.01.2023 | ||
panda-gym | Set of robotic environments based on PyBullet physics engine and gymnasium |
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