csquires / 6.S091-causalityLinks
☆190Updated 2 years ago
Alternatives and similar repositories for 6.S091-causality
Users that are interested in 6.S091-causality are comparing it to the libraries listed below
Sorting:
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated 11 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆76Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆108Updated 4 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆100Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 7 months ago
- Resources related to causality☆267Updated last year
- Example causal datasets with consistent formatting and ground truth☆90Updated 5 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 9 months ago
- ☆22Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆133Updated 6 months ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆49Updated 2 months ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆24Updated 2 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆260Updated last month
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆68Updated 6 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆737Updated 2 years ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Public dataset repository for the Causal Chamber Project☆45Updated 2 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆52Updated last year
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆10Updated last year
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- A (concise) curated list of awesome Causal Inference resources.☆243Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- ☆36Updated 3 months ago
- ☆81Updated 5 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆161Updated last year