Contains implementation of a GAN to generate human faces.

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.

Automatic Tiger Surveillance using YOLOv8 and EnlightenGAN aimed for Tiger Conservation

Generation and Prediction of Images Using KERAS

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

DCGAN implementation in keras on CIFAR10 dataset

Face generator

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

Generating audio using a Generative Adversarial Network

A GAN that sythesizes new faces alike faces from celebA dataset

Generating fake images using Deep Convolutional GANs (DCGAN)

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

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.

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

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

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

For Educational Purposes

Generate faces using General Adversarial networks