Alternatives and similar repositories for X

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

• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆38Updated 9 years ago
• jn2clark / ReinforcementLearning
  ☆88Updated 8 years ago
• AgnezIO / agnez
  Analytics for Deep Learning projects.
  ☆49Updated 9 years ago
• manugarri / keras_monet
  example of using LSTM Networks to generate Monet - like paintings
  ☆83Updated 10 years ago
• ndronen / modeling
  Modules/scripts/utilities for modeling with various neural network frameworks.
  ☆25Updated 9 years ago
• lukovkin / ufcnn-keras
  Implementation of UFCNN in Keras
  ☆93Updated 8 years ago
• dbobrenko / async-deeprl
  Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
  ☆42Updated 7 years ago
• breze-no-salt / breze
  Breze with all the stuff.
  ☆96Updated 8 years ago
• danijar / mindpark
  Testbed for deep reinforcement learning
  ☆160Updated 8 years ago
• hycis / Mozi
  Deep Learning Package base on Theano
  ☆103Updated 8 years ago
• mpezeshki / Associative_LSTM
  LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
  ☆109Updated 9 years ago
• mbeissinger / intro_deep
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Updated 9 years ago
• raviqqe / tensorflow-qnd
  Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
  ☆56Updated 6 years ago
• soumith / eyescream
  ☆35Updated 10 years ago
• jonathonbyrd / deep_rl_ale
  An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
  ☆74Updated 8 years ago
• apark263 / cfmz
  ☆56Updated 9 years ago
• Islandman93 / reinforcepy
  Collection of reinforcement learners implemented in python. Mainly including DQN and its variants
  ☆54Updated 8 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
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 7 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆29Updated 9 years ago
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 9 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 8 years ago
• hycis / TensorGraph
  A tensorflow library for building all kinds of models
  ☆70Updated 4 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• lukaszkaiser / NeuralGPU
  Code for the Neural GPU
  ☆48Updated 9 years ago
• siemanko / a3c
  Asynchronous Advantage Actor Critic
  ☆20Updated 9 years ago
• traai / async-deep-rl
  A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783
  ☆67Updated 8 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• jiamings / fast-weights
  Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
  ☆172Updated 8 years ago
• mpezeshki / Recurrent-Neural-Networks
  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
  ☆91Updated 10 years ago