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
  ☆71Updated last year
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆146Updated 2 months 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 9 months 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
• zachwooddoughty / emnlp2018-causal
  Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
  ☆24Updated 4 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆55Updated 4 years ago
• acmi-lab / counterfactually-augmented-data
  Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
  ☆170Updated 3 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
• adjidieng / DETM
  ☆133Updated 4 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆102Updated 3 years ago
• bradyneal / causal-book-code
  ☆76Updated 4 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆31Updated 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
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• YongfeiYan / Neural-Document-Modeling
  PyTorch implementations of NVDM, GSM, NTM, NTMR
  ☆74Updated 5 years ago
• bastings / interpretable_predictions
  Interpretable Neural Predictions with Differentiable Binary Variables
  ☆84Updated 3 years ago
• tongshuangwu / polyjuice
  ☆96Updated 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
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated 2 years ago
• copenlu / xai-benchmark
  A Diagnostic Study of Explainability Techniques for Text Classification
  ☆66Updated 4 years ago
• behavioral-ds / evently
  evently: simulation, fitting of Hawkes processes
  ☆16Updated 2 years ago
• allenai / mice
  ☆26Updated 2 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• lfmatosm / embedded-topic-model
  A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
  ☆95Updated last year
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆76Updated 10 months ago
• dsridhar91 / hstm
  Code and data for "Heterogeneous Supervised Topic Models"
  ☆11Updated 2 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆83Updated 6 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆199Updated 4 years ago