A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Presentation material for my talk at Pycon DE 2023: Intro on synthetic tabular data including synthetic data generation, evaluation metrics and common problems of synthetic data generation projects.

DCGAN implementation in keras on CIFAR10 dataset

Automating detecting tigers 🐅 in the wild 🌳 by handling illumination issues 💡 with the help of EnlightenGAN 🏞️

Contains implementation of a GAN to generate human faces.

Generate faces using General Adversarial networks

Generative Adversarial Networks for CIFAR-10 dataset written as part of my MSc in Data Science degree.

Pytorch implementation of Generative Adversarial Networks (GAN) for MNIST and EMNIST datasets

Defined and trained a DCGAN on a dataset of faces. The Goal of this project is to generate new images of faces that look as realistic as possible.

Attempt to build a GAN based data repeater to enable our team to generate more data with "statistically adequate" fake data.

Notebooks completed to learn various Deep Learning topics during Inspirit AI's Deep Dives: Designing Deep Learning Systems program(500+ lines)

Generation and Prediction of Images Using KERAS

A GAN that sythesizes new faces alike faces from celebA dataset

Face generator

Generating fake images using Deep Convolutional GANs (DCGAN)

Chess game including state-of-the-art GUI, lichess.org game selection interface and review mechanic and a simple computer opponent to play against.