Alternatives and similar repositories for causal-text-embeddings-tf2

Users that are interested in causal-text-embeddings-tf2 are comparing it to the libraries listed below

• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆91Updated 3 years ago
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆70Updated 3 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆124Updated 4 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 years ago
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated 9 months ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆146Updated 3 months ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆55Updated 4 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• WANGXinyiLinda / Neural-Topic-Model-with-Attention-for-Supervised-Learning
  This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.
  ☆31Updated 5 years ago
• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 4 years ago
• mebrunet / understanding-bias
  Code accompanying the paper "Understanding Bias in Word Embeddings"
  ☆22Updated 2 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆68Updated 2 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆31Updated 3 years ago
• adjidieng / DETM
  ☆135Updated 4 years ago
• behavioral-ds / evently
  evently: simulation, fitting of Hawkes processes
  ☆16Updated 2 years ago
• dsridhar91 / hstm
  Code and data for "Heterogeneous Supervised Topic Models"
  ☆11Updated 2 years ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago
• SmilesDZgk / GNTM
  ☆17Updated 3 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆103Updated 4 years ago
• quynhneo / detm-arxiv
  Implementation of Dynamic Embedding Topic Modeling on arxiv.org articles
  ☆20Updated 3 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆59Updated last year
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 4 years ago
• avalanchesiqi / youtube-crosstalk
  Code and Data for paper: Cross-Partisan Discussions on YouTube: Conservatives Talk to Liberals but Liberals Don't Talk to Conservatives (…
  ☆13Updated 3 years ago
• XingqiaoWang / DeepCausalPV-master
  ☆18Updated 3 years ago
• mariru / dynamic_bernoulli_embeddings
  ☆15Updated 7 years ago
• tshi04 / SeaNMF
  Short Text Topic Modeling
  ☆65Updated 6 years ago
• interpretml / fastSparse
  ☆22Updated last year
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆80Updated 11 months ago