Alternatives and similar repositories for requests-for-research

Users that are interested in requests-for-research are comparing it to the libraries listed below

• facebookresearch / CommAI-env
  A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
  ☆1,327Updated 5 years ago
• google-deepmind / dnc
  A TensorFlow implementation of the Differentiable Neural Computer.
  ☆2,520Updated 4 years ago
• google-deepmind / learning-to-learn
  Learning to Learn in TensorFlow
  ☆4,066Updated 4 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,104Updated 7 years ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,823Updated 4 years ago
• dustinvtran / ml-videos
  A collection of video resources for machine learning
  ☆1,552Updated 4 years ago
• alrojo / tensorflow-tutorial
  Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
  ☆1,959Updated 9 years ago
• kuz / DeepMind-Atari-Deep-Q-Learner
  The original code from the DeepMind article + my tweaks
  ☆1,830Updated 7 years ago
• siemanko / tensorflow-deepq
  A deep Q learning demonstration using Google Tensorflow
  ☆1,165Updated 8 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,617Updated 6 years ago
• sbrugman / deep-learning-papers
  Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
  ☆3,194Updated 6 years ago
• AI-metrics / AI-metrics
  An open source project to document AI progress through data.
  ☆443Updated 5 years ago
• spragunr / deep_q_rl
  Theano-based implementation of Deep Q-learning
  ☆1,092Updated 8 years ago
• coreylynch / async-rl
  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  ☆1,010Updated 7 years ago
• dennybritz / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆4,417Updated 7 years ago
• tensorflow / deepmath
  Experiments towards neural network theorem proving
  ☆789Updated 5 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,586Updated 7 years ago
• google / prettytensor
  Pretty Tensor: Fluent Networks in TensorFlow
  ☆1,229Updated 5 years ago
• openai / roboschool
  DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
  ☆2,165Updated 2 years ago
• gdb / kaggle
  A collection of Kaggle solutions. Not very polished.
  ☆771Updated 7 years ago
• zer0n / deepframeworks
  Evaluation of Deep Learning Frameworks
  ☆2,045Updated 8 years ago
• nikitasrivatsan / DeepLearningVideoGames
  ☆1,094Updated 2 years ago
• shagunsodhani / papers-I-read
  A-Paper-A-Week
  ☆952Updated last year
• Newmu / Theano-Tutorials
  Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
  ☆1,294Updated 10 years ago
• joanbruna / stat212b
  Topics Course on Deep Learning UC Berkeley
  ☆1,304Updated 8 years ago
• carpedm20 / NTM-tensorflow
  "Neural Turing Machine" in Tensorflow
  ☆1,046Updated 8 years ago
• facebookresearch / ELF
  An End-To-End, Lightweight and Flexible Platform for Game Research
  ☆2,094Updated 4 years ago
• abhshkdz / papers
  Summaries of papers on deep learning
  ☆571Updated 6 years ago
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,588Updated 2 weeks ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆972Updated 6 years ago