Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
☆93Jan 25, 2022Updated 4 years ago
Alternatives and similar repositories for causal-bert-pytorch
Users that are interested in causal-bert-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow 2 implementation of Causal-BERT☆74Nov 5, 2023Updated 2 years ago
- Package for computing causal effects of text (as treatment)☆74May 3, 2022Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Jun 14, 2020Updated 5 years ago
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆157Feb 6, 2025Updated last year
- Curated research at the intersection of causal inference and natural language processing.☆814Feb 1, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆88Mar 29, 2021Updated 5 years ago
- Tagger for explicit cause-and-effect relationships in text☆11Jan 8, 2020Updated 6 years ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Dec 8, 2021Updated 4 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆59Jul 25, 2024Updated last year
- causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sour…☆40Mar 6, 2026Updated 2 months ago
- ☆11Apr 4, 2018Updated 8 years ago
- ☆20Nov 24, 2020Updated 5 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆157Jun 22, 2024Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆38Feb 21, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆23Sep 23, 2020Updated 5 years ago
- Causal Inference and Discovery in Python by Packt Publishing☆1,009Mar 2, 2026Updated 2 months ago
- ☆12Apr 6, 2022Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Feb 24, 2023Updated 3 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆171Apr 26, 2021Updated 5 years ago
- ☆11Jun 15, 2019Updated 6 years ago
- Data set for LREC 2020 paper "I Feel Offended, Don't Be Abusive!"☆19Sep 23, 2023Updated 2 years ago
- Code for "On the Complexity of Opinions and Online Discussions", WSDM 2019☆12Mar 25, 2019Updated 7 years ago
- We introduce a novel fine-grained causal reasoning dataset and present a series of novel tasks in NLP, from causality detection to event …☆15Apr 21, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆20Dec 31, 2020Updated 5 years ago
- ROCK Framework for Commonsense Causality Reasoning (CCR)☆10Jun 28, 2023Updated 2 years ago
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior☆13Sep 21, 2022Updated 3 years ago
- Code for TACL 2020 paper "An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models"☆14Jul 31, 2020Updated 5 years ago
- A Causal Relation Schema for Text☆45Nov 4, 2024Updated last year
- Code and data for HEF, published in The Web Conference 2021.☆17Mar 31, 2021Updated 5 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Mar 31, 2024Updated 2 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆28Mar 3, 2022Updated 4 years ago
- ☆23Apr 4, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Mar 1, 2023Updated 3 years ago
- MATCH-TUNING☆15Aug 6, 2022Updated 3 years ago
- simplest online-softmax notebook for explain Flash Attention☆17Jan 27, 2026Updated 4 months ago
- The source code used for self-supervised taxonomy expansion method GenTaxo, published in KDD 2021.☆32Feb 24, 2022Updated 4 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Nov 29, 2021Updated 4 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated last year
- The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…☆11Mar 9, 2023Updated 3 years ago