Alternatives and similar repositories for DeepChess

Users that are interested in DeepChess are comparing it to the libraries listed below

• Mononofu / reinforcement-learning
  Implementing exercises from Reinforcement Learning: An Introduction
  ☆64Updated 10 years ago
• brian473 / neural_rl
  Reinforcement learning with a convolutional neural network.
  ☆35Updated 10 years ago
• Zeta36 / Asynchronous-Methods-for-Deep-Reinforcement-Learning
  Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …
  ☆84Updated 9 years ago
• dbobrenko / async-deeprl
  Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
  ☆43Updated 7 years ago
• hughperkins / kgsgo-dataset-preprocessor
  Dataset preprocessor for the KGS go dataset, eg according to Clark and Storkey input planes
  ☆73Updated 9 years ago
• jerpint / rubiks_cube_convnet
  How to train a convnet to solve a rubiks cube
  ☆126Updated 6 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 9 years ago
• 2014mchidamb / AdversarialChess
  Style transfer for chess.
  ☆32Updated 8 years ago
• albanD / adaptive-neural-compilation
  ☆58Updated 9 years ago
• ThomasMiconi / DiffRNN
  RNN with differentiable structure (number of neurons)
  ☆22Updated 9 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 9 years ago
• FrownyFace / DNC
  Differentiable neural computers
  ☆27Updated 9 years ago
• musyoku / self-normalizing-networks
  Chainer implementation of Self-Normalizing Networks (SNN)
  ☆25Updated 8 years ago
• jn2clark / ReinforcementLearning
  ☆87Updated 8 years ago
• zmonoid / mxasyn
  Asynchronous One Step Q Learning implemented with MXNET
  ☆20Updated 8 years ago
• tristandeleu / neural-gpu
  Theano implementation of the Neural GPU
  ☆15Updated 9 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• moscow25 / deep_draw
  Convolution neural network... for draw video poker. Perhaps, we learn something useful for other poker, too.
  ☆109Updated 9 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• openai / pachi-py
  Python wrappers for Pachi. Contains a modified version of the bleeding-edge Pachi source code.
  ☆42Updated 2 years ago
• raviqqe / tensorflow-qnd
  Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
  ☆55Updated 6 years ago
• mpezeshki / Associative_LSTM
  LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
  ☆109Updated 9 years ago
• BojanPLOJ / Bipropagation
  ☆42Updated 4 years ago
• xternalz / DelugeNets
  DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
  ☆26Updated 8 years ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 8 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 8 years ago
• whackashoe / Human_Level_Control_through_Deep_Reinforcement_Learning
  Deepmind's Deep Q Learning on Atari
  ☆46Updated 10 years ago
• shagunsodhani / tf-char-rnn
  Tensorflow implementation of char-rnn
  ☆28Updated 9 years ago
• tobegit3hub / deep_q
  Deep reinforcement learning with TensorFlow
  ☆48Updated 8 years ago