Alternatives and similar repositories for supercell

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

• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆134Updated 8 years ago
• Enny1991 / PLSTM
  ☆138Updated 8 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆269Updated 6 years ago
• davidBelanger / SPEN
  Structured Prediction Energy Networks in Torch
  ☆132Updated 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)
  ☆173Updated 9 years ago
• ypxie / pytorch-NeuCom
  Pytorch implementation of DeepMind's differentiable neural computer paper.
  ☆93Updated 8 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆208Updated 10 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• ryankiros / layer-norm
  Code and models from the paper "Layer Normalization"
  ☆244Updated 9 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 9 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago
• andrewliao11 / dni.pytorch
  Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
  ☆121Updated 8 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆158Updated 8 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)
  ☆123Updated 8 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• pbhatia243 / tf-layer-norm
  TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
  ☆111Updated 9 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆210Updated 9 years ago
• skaae / vaeblog
  ☆78Updated 10 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 9 years ago
• nearai / torchfold
  Tools for PyTorch
  ☆223Updated 3 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 8 years ago
• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆90Updated 9 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 8 years ago
• DeNeutoy / act-tensorflow
  Adaptive Computation Time algorithm in Tensorflow
  ☆260Updated 8 years ago
• mrkulk / Unsupervised-Capsule-Network
  Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
  ☆168Updated 8 years ago
• sanyam5 / arc-pytorch
  The first public PyTorch implementation of Attentive Recurrent Comparators
  ☆146Updated 8 years ago
• Smerity / search_iclr_2018
  ☆79Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆139Updated 7 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago