Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
☆92Jan 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☆73Nov 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☆56Jun 14, 2020Updated 6 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.☆818Feb 1, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Active Bayesian Causal Inference (Neurips'22)☆62Jul 29, 2024Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆90Mar 29, 2021Updated 5 years ago
- ☆538Updated this week
- Tools for estimating causal effects for multivariate continuous exposures☆13Dec 8, 2021Updated 4 years ago
- A reading list for papers on causality for natural language processing (NLP)☆697Apr 27, 2026Updated 5 months ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Jul 25, 2024Updated 2 years ago
- Causal Inference and Discovery in Python by Packt Publishing☆1,043Jul 15, 2026Updated 3 months ago
- ☆27Jun 12, 2023Updated 3 years ago
- Data set for LREC 2020 paper "I Feel Offended, Don't Be Abusive!"☆19Sep 23, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆11Jun 15, 2019Updated 7 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 …☆16Apr 21, 2022Updated 4 years ago
- ☆20Dec 31, 2020Updated 5 years ago
- Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'☆13Dec 8, 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 6 years ago
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior☆13Sep 21, 2022Updated 4 years ago
- ☆12Aug 16, 2022Updated 4 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- NAACL 2022 Findings☆15May 4, 2022Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Dec 3, 2018Updated 7 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆92Mar 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
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆28Jun 9, 2022Updated 4 years ago
- MATCH-TUNING☆15Aug 6, 2022Updated 4 years ago
- Efficient retrieval head analysis with triton flash attention that supports topK probability☆13Jun 15, 2024Updated 2 years ago
- ☆10Jul 13, 2018Updated 8 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Nov 29, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Must-read papers and resources related to causal inference and machine (deep) learning☆752Nov 23, 2022Updated 3 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆297Jul 6, 2023Updated 3 years ago
- Code for Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis (NAACL 2021 oral paper)☆68Jun 16, 2022Updated 4 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆514Mar 3, 2023Updated 3 years ago
- ☆18Dec 2, 2018Updated 7 years ago
- dagrad is a Python package that provides an extensible, modular platform for developing and experimenting with differentiable (gradient-b…☆20May 8, 2025Updated last year
- ☆25Oct 12, 2021Updated 5 years ago