RickardKarl / causal-falsifyLinks
causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
☆35Updated last month
Alternatives and similar repositories for causal-falsify
Users that are interested in causal-falsify are comparing it to the libraries listed below
Sorting:
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 9 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 2 months ago
- Code for blog posts.☆20Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- MetaLearners for CATE estimation☆48Updated last week
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆63Updated last week
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆58Updated this week
- Exploratory repository to study predictive survival analysis models☆37Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Prune your sklearn models☆19Updated 11 months ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 2 weeks ago
- ☆21Updated 6 months ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆31Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- Unstructured Code with interesting analysis☆37Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- Resources for some of our education content☆46Updated 2 months ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Missing data amputation and exploration functions for Python☆72Updated 2 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated 2 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Bringing back uncertainty to machine learning.☆53Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 5 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆58Updated last week
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated 3 weeks ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- ☆122Updated this week