QueensGambit is a Python-based chess engine using the Minimax algorithm with alpha-beta pruning to make optimal moves. It incorporates piece values inspired by AlphaZero and an entropy-based evaluation for dynamic gameplay. The engine supports both human-AI and AI-AI matches.

evoGrad is a lightweight automatic differentiation engine designed to help users understand autograd concepts and neural network operations. It offers a minimal framework for gradient computation and backpropagation, making it an ideal tool for beginners to explore deep learning fundamentals.

echoGPT is a minimal GPT implementation for character-level language modeling with 25.4M parameters. Built with PyTorch, it includes multi-head self-attention, feed-forward layers, and position embeddings. Trained on text like tiny_shakespeare.txt to predict the next character.