jych / cle

Related projects ⓘ

Alternatives and complementary repositories for cle

• iassael / torch-bnlstm
  Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.
  ☆92Updated 8 years ago
• craffel / nntools
  Fork of https://github.com/Lasagne/Lasagne
  ☆64Updated 8 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆59Updated 3 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆32Updated 8 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆96Updated 7 years ago
• bshillingford / autobw.torch
  ☆62Updated 9 years ago
• igul222 / mnist_generative
  Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.
  ☆29Updated 8 years ago
• mila-iqia / blocks-extras
  A collection of extensions to the Blocks framework
  ☆27Updated 8 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• cooijmanstim / recurrent-batch-normalization
  ☆64Updated 7 years ago
• pascanur / trainingRNNs
  ☆86Updated 11 years ago
• davidBelanger / SPEN
  Structured Prediction Energy Networks in Torch
  ☆131Updated 7 years ago
• lukaszkaiser / NeuralGPU
  Code for the Neural GPU
  ☆46Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆71Updated 8 years ago
• uoguelph-mlrg / theano_multi_gpu
  ☆34Updated 7 years ago
• benanne / nervana_theano
  A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu
  ☆34Updated 9 years ago
• nyu-dl / dl4mt-multi
  ☆122Updated 7 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆208Updated 8 years ago
• siemanko / deeprl
  Universal library for deep reinforcement learning.
  ☆39Updated 8 years ago
• mpezeshki / Recurrent-Neural-Networks
  Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
  ☆92Updated 9 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 8 years ago
• lmjohns3 / downhill
  Stochastic gradient routines for Theano
  ☆102Updated 6 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 8 years ago