Alternatives and similar repositories for structured_embeddings:

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

• Noahs-ARK / idea_relations
  A framework to identify relations between ideas in temporal text corpora.
  ☆28Updated 7 years ago
• TaddyLab / deepir
  deep inverse regression
  ☆31Updated 9 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• jacobeisenstein / SAGE
  Sparse Additive Generative Model of Text
  ☆87Updated 8 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• jacobeisenstein / probabilistic-lexicon-classification
  ☆41Updated 8 years ago
• bob-carpenter / anno
  Models, scripts, and data sets for data annotation (aka coding, aka rating)
  ☆12Updated 10 years ago
• wenty2015 / Predicting-Clinical-Events-via-Recurrent-Neural-Networks
  ☆12Updated 8 years ago
• abenton / deep-dmr
  Implementation of Deep Dirichlet Multinomial Regression in python + cython.
  ☆16Updated 7 years ago
• afshinrahimi / activelearning
  Active Learning for text classification using scikit-learn
  ☆24Updated 5 years ago
• ariddell / horizont
  [hibernating] Dynamic topic models
  ☆39Updated 9 years ago
• uclnlp / acl2015tutorial
  Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing
  ☆20Updated 9 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 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
• NLPrinceton / ALaCarte
  ☆104Updated 6 years ago
• pbhatia243 / neural_topic_models
  neural_topic_models
  ☆11Updated 8 years ago
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆18Updated 6 years ago
• BoulderDS / feature-importance
  ☆15Updated last year
• tbroderick / bnp_tutorial
  ☆30Updated 7 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 10 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 3 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆36Updated 9 years ago
• dbamman / geoSGLM
  Code for learning geographically-informed word embeddings
  ☆22Updated 3 years ago
• ajbc / spf
  Social Poisson Factorization
  ☆26Updated 6 years ago
• cbuntain / collabortweet
  Collaborative web framework for analyzing text (e.g., tweets). Supports standard labeling and pairwise comparison.
  ☆14Updated 3 years ago
• yya518 / sparse-constrained-lda
  ☆15Updated 8 years ago
• adamlauretig / bwe
  Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"
  ☆18Updated 5 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 9 years ago