DataForScience / CausalInferenceLinks
☆94Updated 3 years ago
Alternatives and similar repositories for CausalInference
Users that are interested in CausalInference are comparing it to the libraries listed below
Sorting:
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆60Updated 6 years ago
- Notebooks for Keras Tutorial presented at ODSC West 2020☆26Updated 5 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago
- ☆134Updated last year
- ☆103Updated 2 years ago
- Network and Graph Algorithms From Scratch☆112Updated 3 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 5 years ago
- Data Science Resources☆80Updated 9 months ago
- Applied Probability Theory for Everyone☆121Updated last year
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- ☆13Updated 3 years ago
- Resources related to causality☆267Updated last year
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 5 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 4 years ago
- Why And What If: Causal Inference for Everyone☆18Updated 5 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆75Updated 6 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆38Updated last year
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆31Updated 5 years ago
- Function for automatically detecting Simpson's Paradox☆18Updated 5 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 6 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago