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1. Go-AI-Agent Go-AI-Agent Public

   A Game playing AI agent for the Go game (5x5 board) built using Alpha-Beta pruning with variable depth (max-depth of 3 moves) based on the number of total moves played

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2. competitive-programming competitive-programming Public

   C++ code submissions for competitive programming contests I actively take part in

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3. neural-network-from-scratch neural-network-from-scratch Public

   Neural network from scratch built with sigmoid and softmax activation layers for MNIST digit dataset achieving an accuracy of ~94% while using 10000 images for training

   Python