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A neural network that learns how to play quantum chess based on a Monte Carlo tree-search. The operation of quantum chess is also programmed from scratch with the use of the Cirq library.
Deep learning chess engine, that has no idea about chess rules, but watches and learns
♕ A web based and Deep-Reinforcement-Learning-powered open source chess game.
AAAI 2022 Paper: Bet even Beth Harmon couldn't learn chess like that :)
(NeurIPS 2023) ChessGPT - Bridging Policy Learning and Language Modeling
A TensorFlow implementation of "DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess"
Touying is a powerful package for creating presentation slides in Typst.
Perl script that evaluates the word count of a tex document according to the PRL length guidelines
Sunfish: a Python Chess Engine in 111 lines of code
♟️ A chess engine with alpha-beta pruning, piece-square tables, move ordering, and command-line UI.
Bayesian Quantum State Tomography
Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)
强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
Tictactoe game using Python and Pygame - YouTube Tutorial
Play TicTacToe against a quantum computer!
A (not really) complete list of quantum games
PyTorch implementation of AlphaZero Chess from scratch
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"