Alternatives and similar repositories for neural-gpu

Users that are interested in neural-gpu are comparing it to the libraries listed below

• openai / gym-wikinav
  Wikipedia navigation environment for OpenAI Gym
  ☆41Updated 2 years ago
• openai / doom-py
  ViZDoom Python wrapper
  ☆75Updated 2 years ago
• google-deepmind / spaceship_dataset
  Dataset for the spaceship task from "Metacontrol for Adaptive Imagination-Based Optimization"
  ☆57Updated 8 years ago
• openai / retro-contest
  OpenAI Retro Contest
  ☆65Updated 2 years ago
• openai / sonic-on-ray
  Training Sonic with RLlib
  ☆60Updated 2 years ago
• google-deepmind / xitari
  This is the 0.4 release of the Arcade Learning Environment (ALE), a platform designed for AI research. ALE is based on Stella, an Atari 2…
  ☆160Updated 8 years ago
• general-ai-challenge / Round1
  Environment and tasks for the first round of the General AI Challenge.
  ☆80Updated 7 years ago
• openai / retro-baselines
  Publicly releasable baselines for the Retro contest
  ☆129Updated 7 years ago
• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆104Updated 8 years ago
• bbitmaster / ale_python_interface
  A Python Interface for the Arcade Learning Environment (Shared Object)
  ☆129Updated 5 years ago
• ilyasu123 / rlntm
  An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521
  ☆160Updated 10 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 8 years ago
• bgavran / DNC
  Implementation of the Differentiable Neural Computer in Tensorflow
  ☆119Updated 8 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 8 years ago
• kvfrans / parallel-trpo
  A parallel version of Trust Region Policy Optimization
  ☆65Updated 8 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆348Updated 7 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 7 years ago
• google-deepmind / alewrap
  A lua wrapper for the Arcade Learning Environment/xitari.
  ☆34Updated 9 years ago
• openai / gym-recording
  Add-on package to gym, to record sequences of actions, observations, and rewards
  ☆75Updated 2 years ago
• openai / baselines-results
  ☆119Updated 5 years ago
• aslanides / aixijs
  AIXIjs - General Reinforcement Learning in the Browser
  ☆149Updated 5 years ago
• jsikyoon / pathnet
  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
  ☆103Updated 8 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆253Updated 7 years ago
• Kaixhin / malmo-challenge
  Malmo Collaborative AI Challenge - Team Pig Catcher
  ☆66Updated 8 years ago
• wojzaremba / trpo
  ☆101Updated 9 years ago
• openai / pachi-py
  Python wrappers for Pachi. Contains a modified version of the bleeding-edge Pachi source code.
  ☆41Updated 2 years ago
• jsuarez5341 / Efficient-Dynamic-Batching
  Solves AI, transcends reality, infiltrates your mind
  ☆39Updated 8 years ago
• KokoMind / Recurrent-Environment-Simulators
  Deepmind Recurrent Environment Simulators paper implementation in tensorflow
  ☆74Updated 7 years ago
• albanD / adaptive-neural-compilation
  ☆58Updated 9 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago