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shahid-mo's Projects

2021-formula-1-pit-stop-analysis- icon 2021-formula-1-pit-stop-analysis-

This repository houses an in-depth analysis focused on the pit stops during the 2021 Formula 1 season, examining how changes in pit stop rules and strategies influenced race outcomes and team performances.

cancerdetectnet-a-cnn-based-framework-for-histopathologic-cancer-detection icon cancerdetectnet-a-cnn-based-framework-for-histopathologic-cancer-detection

CancerDetectNet is a deep learning framework designed to accurately classify histopathologic scans of lymph node sections into cancerous and non-cancerous categories. Utilizing Convolutional Neural Networks (CNNs) and PyTorch, it offers a comprehensive pipeline for data preprocessing, model training, evaluation, and prediction.

cse-531-algorithm-analysis-and-design icon cse-531-algorithm-analysis-and-design

This GitHub repo contains Python algorithms from my Analysis of Algorithms course, including graph theory, dynamic programming, etc. Each file is detailed, merging theory with application, ideal for academic and educational use.

deep-reinforcement-learning-framework icon deep-reinforcement-learning-framework

This project implements Deep Q-Network (DQN) and Double Deep Q-Network (DDQN) algorithms for reinforcement learning in various environments. It is designed to be modular, allowing for easy experimentation with different network architectures, configurations, and environments.

grid_world_reinforcement_learning icon grid_world_reinforcement_learning

This repository demonstrates reinforcement learning algorithms applied to two types of grid world environments: deterministic and stochastic.

pathldm icon pathldm

Official Code for PathLDM: Text conditioned Latent Diffusion Model for Histopathology (WACV 2024)

sentiment-analysis-with-distilbert icon sentiment-analysis-with-distilbert

This project aims to critically assess the performance difference between pre-trained and fine-tuned DistilBERT models in the context of multi-class sentiment analysis.

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