Alternatives and similar repositories for nninit

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

• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 8 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 8 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• htwaijry / npy4th
  Numpy format for Torch
  ☆69Updated 8 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 8 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆156Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• danielvarga / earth-moving-generative-net
  ☆31Updated 8 years ago
• davidBelanger / SPEN
  Structured Prediction Energy Networks in Torch
  ☆132Updated 8 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 7 years ago
• didw / lrcn.torch
  ☆21Updated 9 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆111Updated 8 years ago
• kbullaughey / dni-synthetic-gradients
  Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.
  ☆43Updated 8 years ago
• rarilurelo / pytorch_a3c
  ☆38Updated 8 years ago
• Kaixhin / torch-pastalog
  A Torch interface for pastalog - simple, realtime visualization of neural network training performance
  ☆45Updated 9 years ago
• pranv / lrh
  Learning RNN Hierarchies
  ☆44Updated 9 years ago
• andrewliao11 / dni.pytorch
  Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
  ☆119Updated 7 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• ilarele / torch_examples
  [adversarial] examples and training cost
  ☆19Updated 9 years ago
• jiamings / cramer-gan
  Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
  ☆125Updated 7 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆132Updated 7 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 9 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• renmengye / deep-dashboard
  Deep Dashboard: Machine Learning Training Visualizer
  ☆44Updated 8 years ago