Alternatives and similar repositories for icml2015_papers:

Users that are interested in icml2015_papers are comparing it to the libraries listed below

• dementrock / tensorfuse
  Common interface for Theano, CGT, and TensorFlow
  ☆237Updated 8 years ago
• DoctorTeeth / diffmem
  Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
  ☆219Updated 9 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆228Updated 7 years ago
• Ivaylo-Popov / Theano-Lights
  Deep learning research framework based on Theano
  ☆267Updated 9 years ago
• trtm / DLBB
  DLBook Builder
  ☆44Updated 9 years ago
• vitruvianscience / OpenDeep
  Modular & extensible deep learning framework built on Theano.
  ☆210Updated 2 years ago
• wojzaremba / algorithm-learning
  ☆183Updated 9 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• maciejjaskowski / deep-q-learning
  ☆151Updated 8 years ago
• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆58Updated 9 years ago
• tkocisky / oxnn
  ☆130Updated 8 years ago
• soumith / nextml
  ☆35Updated 10 years ago
• deeplearningparis / dl-machine
  Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
  ☆295Updated 9 years ago
• junwei-pan / fasttext_torch
  A fasttext implementation based on Torch
  ☆72Updated 8 years ago
• viswanathgs / dist-dqn
  Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym
  ☆182Updated 8 years ago
• tariqdaouda / Mariana
  The Cutest Deep Learning Framework which is also a wonderful Declarative Language
  ☆149Updated 6 years ago
• memkite / DeepLearningBibliography
  Bibliography for Publications about Deep Learning using GPU
  ☆270Updated 9 years ago
• facebookarchive / Stack-RNN
  This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas…
  ☆419Updated 5 years ago
• cgarciae / tensorbuilder
  TensorBuilder is a TensorFlow library enables you to easily create complex deep neural networks by leveraging the phi DSL to help define …
  ☆90Updated 8 years ago
• jbornschein / draw
  Reimplementation of DRAW
  ☆346Updated 8 years ago
• zomux / deepy
  A highly extensible deep learning framework
  ☆423Updated 7 years ago
• NathanEpstein / reinforce
  Simple reinforcement learning in Python.
  ☆202Updated 4 years ago
• shawntan / neural-turing-machines
  Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/a…
  ☆460Updated 8 years ago
• mbeissinger / intro_deep
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Updated 9 years ago
• carpedm20 / visual-analogy-tensorflow
  Tensorflow implementation of "Deep Visual Analogy-Making"
  ☆289Updated 8 years ago
• ofirnachum / tree_rnn
  Theano implementation of Tree RNNs aka Recursive Neural Networks.
  ☆235Updated 8 years ago
• dblN / stochastic_depth_keras
  Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382
  ☆139Updated 4 years ago
• siemanko / tf-adversarial
  Adversarial networks in TensorFlow
  ☆170Updated 8 years ago
• soumith / net2net.torch
  Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.
  ☆159Updated 8 years ago
• kaishengtai / torch-ntm
  A Neural Turing Machine implementation in Torch.
  ☆276Updated 9 years ago