Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

[NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics. In CVPR, 2020.

Implementation of Pre-text invariant representation learning algorithm in pytorch

Pytorch model for classification

SimCLR implementation in PyTorch.

Transfer learning from imagenet VGG16 CNN for classifying stl10 database using Keras

A few machine learning projects that I made using PyTorch

In this project, we executed an optimized architecture for image recognition on the CIFAR-10 dataset using the Particle Swarm Optimization (PSO) method.

Experiments with Variational Autoencoders in pytorch

CSE-164-Computer-Vision

Code for my Master's thesis on Multi‑Task Self‑Supervised Learning for label‑efficient learning. Modular PyTorch framework combining contrastive + pretext tasks with dynamic loss weighting, and centralized/federated training (HAR/STL‑10) to learn compact, robust representations.

GAN implementation in PyTorch

Comparing different learning paradigms on the STL 10 dataset and carrying further analysis in each method

Code repository for the paper titled "MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning"