AlxndrMlk / blogs-codeLinks
Code for blog posts.
☆20Updated 2 years ago
Alternatives and similar repositories for blogs-code
Users that are interested in blogs-code are comparing it to the libraries listed below
Sorting:
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated last year
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆36Updated last month
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Unstructured Code with interesting analysis☆36Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Causal Inference in Python☆45Updated 3 months ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- This project introduces Causal AI and how it can drive business value.☆54Updated last year
- Repository containing the code of the projects presented in my personal website.☆45Updated last week
- Machine learning based causal inference/uplift in Python☆62Updated this week
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆12Updated last year
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆160Updated 3 weeks ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated last year
- ☆25Updated this week
- ☆34Updated last year
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆59Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 8 months ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆62Updated 3 weeks ago
- Causal Inference Using Quasi-Experimental Methods