deep-pink
Chess AI system
An AI system designed to play chess using deep learning techniques
Deep Pink is a chess AI that learns to play chess using deep learning.
813 stars
60 watching
159 forks
Language: Python
last commit: about 8 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 zeta36/chess-alpha-zero | An implementation of AlphaGo Zero's reinforcement learning approach to master the game of chess | 2,137 |
 kristjankorjus/replicating-deepmind | Reproducing DeepMind's Atari game-playing system using C++ and GPU acceleration | 653 |
 danshumway/piglet | An experimental AI system designed to play classic Game Boy Color games through experimentation. | 43 |
 xamber/varis | A Go-based neural network library for building and training artificial neural networks. | 55 |
 utilforever/robotchess | An Auto Chess simulator built with C++ and reinforcement learning algorithms | 4 |
 siemanko/tensorflow-deepq | A reinforcement learning implementation using TensorFlow to control a game environment | 1,170 |
 emilwallner/coloring-greyscale-images | Developing a neural network-based colorization system for converting grayscale images to RGB colors | 1,037 |
 intelligent-machine-learning/dlrover | Automates large-scale deep learning training on distributed clusters, providing fault tolerance and fast recovery from failures. | 1,302 |
 dobro/binbo | A chess game representation written in Erlang using Bitboards and Magic Bitboards for fast move generation. | 125 |
 marcusbuffett/command-line-chess | A terminal-based chess game against an AI using a simple brute-force algorithm to evaluate positions | 503 |
 joeddav/devol | An evolutionary algorithm for designing neural networks in Keras | 951 |
 elucidation/tensorflow_chessbot | A system that uses convolutional neural networks to predict chessboard layouts from images | 521 |
 progamergov/neural-dream | An implementation of DeepDream algorithm using PyTorch for image processing and computer vision. | 133 |
 chelexa/chelexa | An IoT cloud platform that uses natural voice recognition and machine learning to play chess with Amazon Echo users | 4 |
 floringogianu/categorical-dqn | An implementation of reinforcement learning algorithm using PyTorch and designed to work with Atari games. | 96 |