Alternatives and similar repositories for causal-text-embeddings

Users that are interested in causal-text-embeddings are comparing it to the libraries listed below

• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆72Updated last year
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated last year
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆72Updated 3 years ago
• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆92Updated 3 years ago
• adjidieng / DETM
  ☆138Updated 4 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆116Updated 6 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆69Updated 3 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 5 years ago
• lateral / minkowski
  Skip-gram word embeddings in hyperbolic space
  ☆34Updated 7 years ago
• NLPrinceton / ALaCarte
  ☆104Updated 7 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• joewandy / hlda
  Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
  ☆154Updated last month
• Lorraine333 / box_embeddings
  Experiments of ACL 2018 paper box embeddings
  ☆31Updated 6 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 5 years ago
• mebrunet / understanding-bias
  Code accompanying the paper "Understanding Bias in Word Embeddings"
  ☆22Updated 2 years ago
• akashgit / autoencoding_vi_for_topic_models
  Tensorflow implementation for prodLDA and NVLDA.
  ☆255Updated 4 years ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• williamleif / socialsent
  Code and data for inducing domain-specific sentiment lexicons.
  ☆196Updated last year
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆83Updated 6 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆56Updated 5 years ago
• dallascard / scholar
  Replication code for "Neural Models for Documents with Metadata"
  ☆107Updated 5 years ago
• IKMLab / arct2
  Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
  ☆53Updated 3 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆85Updated 4 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆73Updated 2 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆39Updated 3 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆179Updated 8 years ago