Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.
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May 4, 2026 - Python
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foundational-models
Here are 27 public repositories matching this topic...
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
time-series transformers forecasting classification imputation anomaly-detection time-series-classification time-series-forecasting time-series-anomaly-detection large-language-models foundational-models
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Feb 10, 2026 - TypeScript
Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.
music-information-retrieval automatic-speech-recognition speech-to-text audio-processing music-ai music-processing large-language-models foundational-models speech-ai audio-ai large-audio-models speech-llms large-language-model-speech
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May 10, 2026
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
nlp computer-vision image-captioning clip blip multimodal zero-shot-detection foundational-models llava segment-anything open-vocabulary-detection open-vocabulary-segmentation grounding-dino
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Feb 29, 2024 - Python
A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.
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Mar 30, 2026
Official repository for "CLIP model is an Efficient Continual Learner".
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Dec 13, 2022 - Python
Google Cloud Medical Imaging ML Development Accelerators
python machine-learning jupyter google-cloud dicom medical-imaging pacs foundational-models medical-imaging-suite
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Jul 29, 2024 - Jupyter Notebook
ACM Multimedia 2023 (Oral) - RTQ: Rethinking Video-language Understanding Based on Image-text Model
machine-learning deep-learning multi-modal video-understanding vision-and-language video-language video-language-pretraining foundational-models
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Apr 7, 2026 - Python
In this course navigates through the LLMOps pipeline, enabling you to preprocess training data for supervised fine-tuning and deploy custom Large Language Models (LLMs).
deployment supervised-learning data-versioning fine-tuning deeplearning-ai responsible-ai large-language-models foundational-models llmops pipeline-deployment model-customization
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Feb 13, 2024 - Jupyter Notebook
This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).
ai deep-learning blender tiff transformers weights image-to-image blender-python llm stable-diffusion foundational-models generative-ai safetensors blip2 gptq
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Dec 18, 2023 - Python
🐍📦 High-performance cosine similarity ranking for Retrieval-Augmented Generation (RAG) pipelines.
cosine-similarity reranking ranking-system rag python-rust large-language-models llm foundational-models retrieval-augmented-generation
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Mar 11, 2026 - Python
PyTorch-native framework for fault-tolerant distributed training of foundation models on AI clusters
training machine-learning ai fault-tolerance pytorch moe gpu-computing scaling distributed-training neuro-ai llm foundational-models kempner
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May 13, 2026 - Python
Glycan Informed Foundational Framework for Learning Abstract Representations, based on Combinatorial Complexes and Heterogeneous GNNs
glycan graph-neural-network pretraining heterogeneous-graph-neural-network glycobiology foundational-models combinatorial-complex
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Nov 19, 2025 - HTML
Go library for unified access to foundational AI models
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May 1, 2026 - Go
High-performance LLM inference engine written in C++ & CUDA from scratch. No PyTorch. Custom memory paging, fused kernels, and INT4 quantization.
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Mar 5, 2026 - C++
Course assignments of COL828:- Advanced Computer Vision course at IIT Delhi under Professor Chetan Arora
computer-vision transformers object-detection openai-clip foundational-models grounding-dino vision-language-models
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Nov 29, 2025 - Python
An improved temporal data pipeline with foundational model for battery State of Health (SOH) prediction (R²->0.99) using advanced time series decomposition (D3R, CEEMDAN) and transformer-based methods. Utilized 100-150 features (ARIMA-based, Rolling statistics, Degradation indicators)
rolling-statistics foundational-models gru-neural-network ceemdan-lstm-arima emd-gru-arima-hybrid d3r-decomposition arima-based-features grid-scale-energy-storage-monitoring predictive-maintenance-scheduling battery-lifecycle-optimization
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Jan 25, 2026 - Python
On-device App Store Optimization copilot for indie macOS developers. Swift, SwiftUI, Foundation Models
macos swift open-source indie mit-license swiftui keyword-research on-device-ai indie-dev foundational-models swiftdata app-store-optimization
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May 12, 2026 - Swift
🔋 Predict battery State of Health (SOH) with a cutting-edge model using time series decomposition and transformer methods for accurate results.
rolling-statistics foundational-models gru-neural-network ceemdan-lstm-arima emd-gru-arima-hybrid d3r-decomposition arima-based-features grid-scale-energy-storage-monitoring predictive-maintenance-scheduling battery-lifecycle-optimization
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May 13, 2026 - Python
Computationally efficient multi-scale foundation model for computational pathology. 71M parameters, runs end-to-end on a single consumer GPU.
tcga pytorch medical-imaging transformer panda whole-slide-imaging computational-pathology multi-scale self-supervised-learning multiple-instance-learning camelyon16 histopathology byol camelyon17 cancer-classification convnext foundational-models gleason-grading masked-feature-reconstruction
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May 9, 2026 - Jupyter Notebook
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