csquires / 6.S091-causalityLinks
☆191Updated 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…☆80Updated 4 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆109Updated 4 years ago
- Resources related to causality☆266Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆78Updated 2 years ago
- ☆22Updated 2 years ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆264Updated 2 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- Example causal datasets with consistent formatting and ground truth☆96Updated 7 months ago
- ☆81Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆11Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 9 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆741Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- 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 4 months ago
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆61Updated last week
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆137Updated 7 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- A (concise) curated list of awesome Causal Inference resources.☆244Updated 3 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆74Updated last week
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆166Updated last year
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- A data index for learning causality.☆480Updated 2 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆239Updated last year