TSGAN: An Optical to SAR Translation GAN for Optical based SAR Temporal Shifting

This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)

An Open-Source Python framework for Locally Weighted Regression and Classification, built on PyTorch and Scikit-Learn

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.

This repository aims to implement a mushroom type classifier using PyTorch, utilizing various models to enhance performance. Additionally, the project includes an analysis of the model's performance using Gradient-Class Activation Map (Grad-CAM) visualization.