Alternatives and similar repositories for belief-propagation:

Users that are interested in belief-propagation are comparing it to the libraries listed below

• atiasnir / propagation
  Belief propagation is a general graph algorithm for ranking nodes based on their location in the graph and some prior knowledge. The ne…
  ☆18Updated 10 years ago
• vaxin / TensorFlow-Examples
  TensorFlow Tutorial and Examples for beginners
  ☆37Updated 8 years ago
• mesilliac / pyLBP
  Loopy Belief Propagation for Python
  ☆39Updated 10 years ago
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆86Updated 6 years ago
• mbforbes / py-factorgraph
  Factor graphs and loopy belief propagation implemented in Python
  ☆189Updated 2 years ago
• tokestermw / text-gan-tensorflow
  TensorFlow GAN implementation using Gumbel Softmax
  ☆93Updated 7 years ago
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆41Updated 9 years ago
• xiayandi / Pytorch_text_classification
  A simple implementation of CNN based text classification in Pytorch
  ☆66Updated 7 years ago
• nicklhy / AdversarialAutoEncoder
  Adversarial AutoEncoder implemented with MXNet
  ☆25Updated 6 years ago
• spongezhang / Kronecker_Projection
  Kronecker Production Matrix for Approximate Nearest Neighbour Search
  ☆12Updated 9 years ago
• spurra / ss-infogan
  Semi-supervised InfoGAN
  ☆25Updated 6 years ago
• vijaykbg / deep-patchmatch
  Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Min…
  ☆34Updated 8 years ago
• jazzsaxmafia / dcgan_tensorflow
  Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"
  ☆81Updated 7 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• jbingel / eacl2017_mtl
  Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
  ☆45Updated 7 years ago
• github-pengge / GANs
  PyTorch implementation of several GANs.
  ☆38Updated 7 years ago
• siddharth-agrawal / Softmax-Regression
  ☆30Updated 6 years ago
• icemansina / LSTM-CF
  LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
  ☆15Updated 8 years ago
• loliverhennigh / WassersteinGAN.tensorflow
  Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
  ☆21Updated 7 years ago
• gokceneraslan / SparseMax.torch
  Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"
  ☆54Updated 8 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆45Updated 8 years ago
• LiqunChen0606 / Triangle-GAN
  implementation for NIPS paper Triangle Generative Adversarial Networks
  ☆62Updated 6 years ago
• ywatanabex / ntm-meta-learning
  A chainer implementation of Memory Augmented Neural Network
  ☆48Updated 8 years ago
• danyaljj / constrained_clustering
  A MATLAB project containing many popular / existing constrained clustering algorithms
  ☆27Updated 6 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆56Updated 7 years ago
• geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
  implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
  ☆56Updated 7 years ago
• deeplearningparis / dl-attention
  Attention models
  ☆34Updated 9 years ago
• fomorians / highway-cnn
  Simple convolutional highway networks using TensorFlow.
  ☆57Updated 8 years ago