XingqiaoWang / DeepCausalPV-master
☆18Updated 3 years ago
Alternatives and similar repositories for DeepCausalPV-master:
Users that are interested in DeepCausalPV-master are comparing it to the libraries listed below
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆55Updated 4 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Updated last year
- Tensorflow 2 implementation of Causal-BERT☆70Updated last year
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆75Updated 7 months ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 8 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Codes for the paper "CausalCite: A Causal Formulation of Paper Citations" (2023)☆14Updated last year
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 9 months ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 3 years ago
- [ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions …☆24Updated 11 months ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- A weak supervision framework for (partial) labeling functions☆15Updated 6 months ago
- ☆17Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated 2 years ago
- Measuring if attention is explanation with ROAR☆22Updated last year
- ☆17Updated 5 years ago
- Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking☆25Updated 5 months ago
- Time-Aware Transformer-based Network for Clinical Notes Series Prediction☆23Updated 11 months ago
- ☆16Updated 2 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- ☆25Updated 8 months ago
- Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery☆16Updated last year
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆23Updated 2 years ago
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior☆12Updated 2 years ago
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated last year