vveitch / causal-text-embeddings-tf2
Tensorflow 2 implementation of Causal-BERT
☆70Updated last year
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
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆85Updated 3 years ago
- Package for computing causal effects of text (as treatment)☆70Updated 2 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆124Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆146Updated last month
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 8 months ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 4 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Updated 4 years ago
- ☆133Updated 4 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆82Updated 6 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆100Updated 3 years ago
- This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.☆31Updated 5 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 9 months ago
- ☆53Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆169Updated 3 years ago
- Code accompanying the paper "Understanding Bias in Word Embeddings"☆22Updated 2 years ago
- ☆27Updated 2 years ago
- Implementation of Dynamic Embedding Topic Modeling on arxiv.org articles☆21Updated 2 years ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆76Updated 9 months ago
- ☆87Updated 4 years ago
- Code and data for "Heterogeneous Supervised Topic Models"☆11Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 9 months ago
- 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
- DynetLSM: latent space models for dynamic networks☆23Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆72Updated 3 years ago