Alternatives and similar repositories for mila-paper-webpage

Users that are interested in mila-paper-webpage are comparing it to the libraries listed below

• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• danielvarga / earth-moving-generative-net
  ☆31Updated 8 years ago
• google-deepmind / mnist-cluttered
  Cluttered MNIST Dataset
  ☆51Updated 10 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆43Updated 8 years ago
• willwhitney / understanding-visual-concepts
  Unsupervised learning of visual concepts from video
  ☆56Updated 9 years ago
• iassael / torch-policy-gradient
  Deterministic Policy Gradient using torch7
  ☆43Updated 8 years ago
• nicholas-leonard / rnn
  Recurrent Neural Network library for Torch7's nn
  ☆19Updated 8 years ago
• Kaixhin / torch-pastalog
  A Torch interface for pastalog - simple, realtime visualization of neural network training performance
  ☆45Updated 8 years ago
• caglar / dntm
  D-NTM paper repo
  ☆25Updated 8 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 7 years ago
• igul222 / pixel_rnn
  Working Theano implementation of Pixel RNN on MNIST.
  ☆76Updated 8 years ago
• eladhoffer / DeepDream.torch
  Torch version for https://github.com/google/deepdream
  ☆54Updated 9 years ago
• hughperkins / rnn-notes
  Notes on how element-research rnn works
  ☆17Updated 9 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆111Updated 8 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆31Updated 9 years ago
• ilarele / torch_examples
  [adversarial] examples and training cost
  ☆19Updated 8 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• didw / lrcn.torch
  ☆21Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 7 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• ethancaballero / paper-notes
  ML/DL/RL paper notes
  ☆20Updated 6 years ago
• iassael / torch-decomposition
  Component Analysis using Torch7 (PCA, Whitened PCA, LDA, LPP, NPP, FastICA)
  ☆29Updated 10 years ago
• Kaixhin / nninit
  Weight initialisation schemes for Torch7 neural network modules
  ☆100Updated 7 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 7 years ago
• SeanNaren / QlearningExample.torch
  Implementation of a simple example of Q learning in Torch.
  ☆50Updated 8 years ago
• patrickgadd / decorrelated-adversarial-autoencoder
  Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)
  ☆31Updated 8 years ago