Human Face Analysis using machine learning and computer vision to detect emotions, estimate age, recognize gender, and extract facial features.
Implementation of Vision Transformer (ViT) architecture for image classification using Oxford-IIIT Pet Dataset. This project provides a PyTorch implementation with both CUDA and CPU support.
A PyTorch implementation of a Generative Adversarial Network (GAN) to generate realistic handwritten digits from the MNIST dataset. The generator creates digit images while the discriminator distinguishes real from fake ones.
YOLOv5s model with custom dataset
Analyzing tennis game by using ML/DL
Implement Transformer model from paper "Attention is all you need" and train with tiny custom dataset