fredthedead / causal-inference-in-statistics-solutionsLinks
Solutions on "Causal Inference in Statistics: A Primer" using Jupyter Notebook, Python
☆31Updated 7 years ago
Alternatives and similar repositories for causal-inference-in-statistics-solutions
Users that are interested in causal-inference-in-statistics-solutions are comparing it to the libraries listed below
Sorting:
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆67Updated 6 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆108Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Resources related to causality☆267Updated last year
- ☆30Updated 6 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆88Updated 7 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆32Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- ☆32Updated 7 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆31Updated 5 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆66Updated 7 months ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- ☆32Updated 4 years ago
- A data index for learning causality.☆476Updated last year
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated last year
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- A (concise) curated list of awesome Causal Inference resources.☆243Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆60Updated last year
- ☆27Updated 4 years ago
- ☆45Updated 6 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
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆13Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆62Updated 5 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated this week
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 5 years ago
- Non-parametrics for Causal Inference☆49Updated 3 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆91Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated last year