Alternatives and similar repositories for causal-bert-pytorch:

Users that are interested in causal-bert-pytorch are comparing it to the libraries listed below

• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆70Updated last year
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆146Updated 3 weeks ago
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆70Updated 2 years ago
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated 7 months ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆124Updated 4 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆55Updated 4 years ago
• xxxiaol / GCI
  Code for Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis (NAACL 2021 oral paper)
  ☆66Updated 2 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆169Updated 3 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
• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 4 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• adjidieng / DETM
  ☆133Updated 4 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆31Updated 3 years ago
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• mmrezaee / VRTM
  "A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020)
  ☆11Updated 3 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆73Updated 2 years ago
• SmilesDZgk / GNTM
  ☆15Updated 3 years ago
• hate-alert / Tutorial-Resources
  Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021
  ☆37Updated 3 years ago
• ShannonAI / Self_Explaining_Structures_Improve_NLP_Models
  ☆83Updated 4 years ago
• yumeng5 / TopClus
  [WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
  ☆87Updated 3 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆99Updated 3 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
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆76Updated 9 months ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 5 years ago
• thunlp / CSSReview
  This repository contains the paperlist of CSS.
  ☆26Updated 2 years ago
• allenai / mice
  ☆26Updated 2 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆198Updated 4 years ago
• peterbhase / ExplanationRoles
  Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"
  ☆14Updated 4 years ago
• hamedR96 / ANTM
  Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to…
  ☆35Updated last year