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chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.tensorflow-tex-wavenet
This is a TensorFlow implementation of the WaveNet generative neural network architecture https://deepmind.com/blog/wavenet-generative-model-raw-audio/ for text generation.tensorflow-image-wavenet
This is a TensorFlow implementation of the WaveNet generative neural network architecture https://deepmind.com/blog/wavenet-generative-model-raw-audio/ for image generation.connect4-alpha-zero
Connect4 reinforcement learning by AlphaGo Zero methods.muzero
A simple implementation of MuZero algorithm for connect4 gameAsynchronous-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 in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.random-memory-adaptation
Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"Policy-chess
A Policy Network in Tensorflow to classify chess movesleela-fish
UCI chess playing engine derived from Stockfish and LeelaChess Zeropytorch-es-tic-tac-toe
Evolution Strategies in PyTorch (Tic-tac-toe)mushroom-detector-kerasjs
I explain how to export weights from a Keras model and import those weights in Keras.js, a JavaScript framework for running pre-trained neural networks in the browser. I show you later how to include the final result into a Phonegap Cordova mobile application.Using-Google-Neural-Machine-Translation-for-chess-movements-inference-TensorFlow-
Using (Google) Neural Machine Translation for chess movements inference (TensorFlow)schopenhauer_GPT_2
Fine-tuning a GPT-2 pretrained model in the Schopenhauer textsFractalExplorationImitationLearning
Using the fragile framework as a memory explorer to train a neural network in Atari gamesLove Open Source and this site? Check out how you can help us