Alternatives and similar repositories for CorrNet

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

• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• janericlenssen / noise-as-targets-tensorflow
  Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…
  ☆23Updated 8 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
• DeNeutoy / bayesian-rnn
  ☆62Updated 8 years ago
• shamidreza / deepcca
  a python code for deep canonical correlation analysis (dcca) written using numpy
  ☆38Updated 5 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 8 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆103Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• y0ast / Variational-Recurrent-Autoencoder
  Implementation of the VRAE
  ☆60Updated 4 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆69Updated 8 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆71Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• tomrunia / ClockworkRNN
  Clockwork RNN in TensorFlow
  ☆61Updated 7 years ago
• marcofraccaro / srnn
  Code for "Sequential Neural Models with Stochastic Layers"
  ☆117Updated 8 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 9 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆134Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• lucastheis / ride
  Code for the recurrent image density estimator
  ☆29Updated 10 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 8 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 11 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆109Updated 8 years ago