Alternatives and similar repositories for TensorNet

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

• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆213Updated 7 years ago
• amarshah / complex_RNN
  unitary matrix for hidden to hidden layer
  ☆75Updated 8 years ago
• yburda / iwae
  Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
  ☆206Updated 9 years ago
• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆189Updated 10 years ago
• casperkaae / parmesan
  Variational and semi-supervised neural network toppings for Lasagne
  ☆208Updated 8 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆103Updated 7 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• sixin-zh / mpiT
  MPI for Torch
  ☆61Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆81Updated 9 years ago
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆318Updated 9 years ago
• mikesj-public / convolutional_autoencoder
  Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
  ☆170Updated 7 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆111Updated 8 years ago
• benanne / nervana_theano
  A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu
  ☆34Updated 10 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 8 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆44Updated 9 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆147Updated 5 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• drasmuss / hessianfree
  Hessian-free optimization for deep networks
  ☆60Updated 7 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
• pascanur / trainingRNNs
  ☆86Updated 12 years ago
• ryankiros / layer-norm
  Code and models from the paper "Layer Normalization"
  ☆246Updated 8 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• 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
• doomie / HessianFree
  An implementation of the Hessian-free optimization algorithm in Theano
  ☆61Updated 13 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago