Alternatives and similar repositories for TensorFlow-Autoencoders

Users that are interested in TensorFlow-Autoencoders are comparing it to the libraries listed below

• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 5 years ago
• edwin-de-jong / incremental-sequence-learning
  Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article
  ☆40Updated 8 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 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
• jcatw / scnn
  Implementation of search-convolutional neural networks (SCNNs)
  ☆51Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆24Updated 7 years ago
• TimDettmers / deepnet
  Deep neural network implemented with gnumpy/cudamat
  ☆16Updated 12 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• openAGI / tefla
  Tensorflow based deep-learning library.
  ☆55Updated 2 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 9 years ago
• jgolebiowski / graphAttack
  Computational graph library for machine learning
  ☆47Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 8 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆26Updated 9 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆60Updated 6 years ago
• despoisj / ConvolutionalAutoencoder
  Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow
  ☆53Updated 4 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆107Updated 8 years ago
• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆40Updated 9 years ago
• omimo / xRBM
  Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
  ☆55Updated 8 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 7 months ago
• zalandoresearch / first_order_gan
  Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591
  ☆35Updated 7 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 8 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆117Updated 3 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆27Updated 12 years ago
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 9 years ago