Alternatives and similar repositories for ctm-c

Users that are interested in ctm-c are comparing it to the libraries listed below

• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 8 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 8 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 10 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 7 years ago
• blei-lab / hdp
  Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
  ☆149Updated 8 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 8 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 8 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• ketranm / neuralHMM
  code for unsupervised learning Neural Hidden Markov Models paper
  ☆70Updated 4 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• diegma / relation-autoencoder
  this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"
  ☆65Updated 8 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• rlebret / hpca
  C++ implementation of the Hellinger PCA for computing word embeddings.
  ☆32Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 4 years ago
• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆112Updated 6 years ago
• chahuja / lru
  Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling
  ☆36Updated 7 years ago
• elanmart / psmm
  ☆49Updated 7 years ago
• ofirpress / UsingTheOutputEmbedding
  Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf
  ☆46Updated 7 years ago
• santi-pdp / quasi-rnn
  Quasi-RNN for language modeling
  ☆57Updated 8 years ago