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.

Generating audio using a Generative Adversarial Network

DCGAN implementation in keras on CIFAR10 dataset

Automatic Tiger Surveillance using YOLOv8 and EnlightenGAN aimed for Tiger Conservation

Contains implementation of a GAN to generate human faces.

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

Generate faces using General Adversarial networks

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.

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

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

For Educational Purposes

A GAN that sythesizes new faces alike faces from celebA dataset

Generation and Prediction of Images Using KERAS

Face generator

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

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.