Alternatives and similar repositories for tkm

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

• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• mpkato / dmr
  Topic Models with Dirichlet-multinomial Regression
  ☆41Updated 8 years ago
• m94h / dtm_gensim
  Dynamic Topic Modelling Tutorial Files
  ☆13Updated 10 years ago
• KenHBS / LDA_thesis
  Hierarchical, multi-label topic modelling with LDA
  ☆54Updated 2 years ago
• Hesamalian / HDP
  Python code for HDP(Hierarchical Dirichlet Process) using Direct Assignment
  ☆20Updated 8 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• jhlau / topic-coherence-sensitivity
  Code to compute topic coherence for several topic cardinalities and aggregate scores across them
  ☆22Updated 3 months ago
• maxent-ai / lda2vec
  Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
  ☆30Updated 6 years ago
• Bollegala / svdmi
  Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.
  ☆24Updated 7 years ago
• JiaxiangBU / dynamic_topic_modeling
  dynamic topic modeling
  ☆40Updated 2 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• NobodyWHU / GPUDMM
  Topic Modeling for Short Texts with Auxiliary Word Embeddings
  ☆73Updated 7 years ago
• abenton / deep-dmr
  Implementation of Deep Dirichlet Multinomial Regression in python + cython.
  ☆16Updated 7 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆39Updated 2 years ago
• dangitstam / topic-rnn
  Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
  ☆52Updated 6 years ago
• magsilva / dtm
  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  ☆30Updated 4 years ago
• Ardavans / sHDP
  Nonparametric Topic Modeling with Word Vectors
  ☆74Updated 8 years ago
• forest-snow / anchor-topic
  This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
  ☆16Updated 6 years ago
• mansweet / Gaussian-LDA-word2vec
  LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary
  ☆53Updated 9 years ago
• xiaohuiyan / BurstyBTM
  Code for Bursty Biterm Topic Model (published in AAAI2015)
  ☆53Updated 6 years ago
• mlukasik / seqhawkes
  Code to reproduce experiments from the ACL 2016 paper about Rumour Stance Classification with Hawkes Processes.
  ☆25Updated 8 years ago
• laserwave / lda_variational_em
  a python implementation of latent dirichlet allocation(lda) using variational EM algorithm
  ☆28Updated 8 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 10 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 8 years ago
• patrickjae / GeneralizedDynamicTopicModels.jl
  Generalized Dynamic Topic Models using Gaussian Processes
  ☆19Updated 7 years ago
• brochier / idne
  Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)
  ☆17Updated 2 years ago
• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 6 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 7 years ago
• xiaohuiyan / OnlineBTM
  Code for Online Biterm Topic Model (published in TKDE2014)
  ☆65Updated 10 years ago
• ChangUk / pyGibbsLDA
  Python Implementation of Collapsed Gibbs Sampling for Latent Dirichlet Allocation (LDA)
  ☆16Updated 9 years ago