nanchenchen / belief-propagation
An implementation of loopy belief propagation on a Bayesian Network (BN)
☆11Updated 10 years ago
Alternatives and similar repositories for belief-propagation:
Users that are interested in belief-propagation are comparing it to the libraries listed below
- 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
- TensorFlow Tutorial and Examples for beginners☆37Updated 8 years ago
- Loopy Belief Propagation for Python☆40Updated 10 years ago
- LSTM-Attention☆73Updated 7 years ago
- PyTorch implementation of several GANs.☆38Updated 7 years ago
- 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
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆86Updated 6 years ago
- Kronecker Production Matrix for Approximate Nearest Neighbour Search☆12Updated 9 years ago
- PyTorch implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation, as detailed in…☆59Updated 5 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆41Updated 9 years ago
- Max-margin DeepWalk☆71Updated 7 years ago
- This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]☆44Updated 6 years ago
- PyTorch, LSTM CRF model☆9Updated 7 years ago
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated 7 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 7 years ago
- Factor graphs and loopy belief propagation implemented in Python☆190Updated 2 years ago
- Attention models☆33Updated 9 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Neural Network based models for Aspect-Based Sentiment Analysis☆23Updated 6 years ago
- Source code for ``A Structured Self-Attentive Sentence Embedding'' published in ICLR 2017☆53Updated 6 years ago
- Theano implementation of Learning to Remember Rare Events☆8Updated 7 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- ☆30Updated 6 years ago
- Bidirectional (Symmetrical) Deep Neural Networks☆25Updated 8 years ago
- Python implementation of linear-chain conditional random fields.☆100Updated 11 years ago
- This is a tensorflow implementation of 2018 NIPS paper: [GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.…☆14Updated 6 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆53Updated 8 years ago
- Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.☆23Updated 8 years ago
- ☆38Updated 7 years ago