Name		Name	Last commit message	Last commit date
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README.md		README.md
explain.drawio		explain.drawio
generate_training_data.py		generate_training_data.py
play.py		play.py
simplechessai-resnet.ipynb		simplechessai-resnet.ipynb
state.py		state.py
train.py		train.py

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Chessai

Data source: pgnmentor database

Methodology: Use Neural Net to create a board state calculator.Later use Minimax Algorithm to extract optimum decision

Training the model base on 100M history chess games(pgn file)

Major Library:

  Pytorch
  python-chess

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