Alternatives and similar repositories for deep-murasaki

Users that are interested in deep-murasaki are comparing it to the libraries listed below

• oripress / DeepChess
  A TensorFlow implementation of "DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess"
  ☆89Updated 6 years ago
• Mononofu / reinforcement-learning
  Implementing exercises from Reinforcement Learning: An Introduction
  ☆64Updated 10 years ago
• crypt3lx2k / Zerofish
  An implementation of the AlphaZero algorithm for chess
  ☆33Updated 2 years ago
• openai / pachi-py
  Python wrappers for Pachi. Contains a modified version of the bleeding-edge Pachi source code.
  ☆40Updated 2 years ago
• jimfleming / differentiation
  Implementing (parts of) TensorFlow (almost) from Scratch
  ☆30Updated 7 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• juandes / PokemonTypesDeepLearning
  Out of curiosity I took on the task of attempting to predict the type or category of a given Pokemon using its appearance, in particular …
  ☆19Updated 8 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 8 years ago
• shawntan / rnn-experiment
  Experiments with Recurrent Neural Nets
  ☆26Updated 10 years ago
• tambetm / gymexperiments
  ☆28Updated 6 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 9 years ago
• CarsonScott / Prediction-Template-Learning
  Online machine learning algorithm that makes predictions about the environment to improve itself.
  ☆60Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 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
• matthiasplappert / keras-rl-weights
  Trained models for keras-rl.
  ☆21Updated 8 years ago
• zmonoid / mxasyn
  Asynchronous One Step Q Learning implemented with MXNET
  ☆20Updated 8 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• AgnezIO / agnez
  Analytics for Deep Learning projects.
  ☆49Updated 9 years ago
• thomlake / pytorch-notebooks
  random pytorch hacks
  ☆26Updated 7 years ago
• ramon-oliveira / aorun
  Deep Learning over PyTorch
  ☆61Updated 7 years ago
• musyoku / self-normalizing-networks
  Chainer implementation of Self-Normalizing Networks (SNN)
  ☆25Updated 8 years ago
• kutoga / going_deeper
  Going Deeper: Infinite Deep Neural Networks
  ☆96Updated 6 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• staturecrane / blackjack-sgd
  A simple bot that learns how to play blackjack through real-time stochastic gradient descent
  ☆16Updated 9 years ago
• nikste / tensorflow-neat
  implementation of neat like genetic algorithm for finding network topologies in tensorflow
  ☆68Updated 6 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 8 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• llSourcell / neuroevolution-for-flappy-birds
  This is the code for "AI that Creates AI" By Siraj Raval on Youtube
  ☆66Updated 7 years ago
• offbit / evo-design
  Code for my blog post "Design by Evolution"
  ☆21Updated 7 years ago