queensgambit Goto Github PK

a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

barcode-app

books

opening books for chess variants in EPD format for engine testing and tuning, generated with https://github.com/ianfab/bookgen. Used for https://github.com/ianfab/fishtest.

crazyara

A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:

crazyara-engine

CrazyAra - A Deep Learning UCI-Chess Variant Engine written in C++ :bird:

cutechess

Cute Chess is a graphical user interface, command-line interface and a library for playing chess.

fairy-stockfish

chess variant engine supporting Xiangqi, Shogi, Janggi, Makruk, S-Chess, Crazyhouse, Bughouse, and many more

githubrepositoryclassifier

entry of the infoCup2016/2017

gridworld

Gridworlds and Markov Decision Processes in Python

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

informaticup2017

informatiCup 2017 - GitHub Repository Classifier

lichess-bot

A bridge between Lichess API and chess engines

lichess-db

Export lichess game database in a standard PGN format

lspi

Least Squares Policy Iteration in Python

opencv_github_test

initial push

pgm-causal-reasoning

Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship

pomcpp

A re-implementation of the Pommerman environment in C++

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rl-homework

rl-project

spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

stockfish

Multi-variant fork of popular UCI chess engine

tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

uci2wb

customized version of UCI2WB adapter by H.G.Muller

utils

Collection of miscellaneous Python functions.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

z5

Lighweight C++ and Python interface for datasets in zarr and N5 format