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

DCGAN implementation in keras on CIFAR10 dataset

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.

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

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

A GAN that sythesizes new faces alike faces from celebA dataset

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

Comparison of two QR code super-resolution models (GAN vs. CNN) focused on pixel accuracy, scannability, and practical use in logistics, healthcare, and digital applications.

Generation and Prediction of Images Using KERAS

A proof of concept in Detecting Deceptive Deepfake Media Using Generative Adversarial Networks (GAN))

Face generator

Contains implementation of a GAN to generate human faces.

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

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

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.

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.

Generate faces using General Adversarial networks