silverfish

Chess engine with a neural network position evaluator

• Trained an efficiently updatable neural network in PyTorch to evaluate Chess positions
• Increased search speed by 57% by using bitboards to store positions and profiling bottlenecks
• Reduced NN evaluation overhead by 44%, increasing engine throughput and positions searched
• Maintained project with automated CI pipeline with GitHub Actions