discdiver / causal-inference-python-packagesLinks
List of python packages for causal inference
☆17Updated 4 years ago
Alternatives and similar repositories for causal-inference-python-packages
Users that are interested in causal-inference-python-packages are comparing it to the libraries listed below
Sorting:
- Causal Graphical Models in Python☆249Updated 2 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆788Updated 2 months ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- ☆469Updated last year
- Resources related to causality☆267Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 9 months ago
- Some notes on Causal Inference, with examples in python☆156Updated 5 years ago
- A resource list for causality in statistics, data science and physics☆267Updated last week
- AutoML for causal inference.☆236Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Repository with code and slides for a tutorial on causal inference.☆582Updated 6 years ago
- Bayesian Additive Regression Trees For Python☆231Updated 2 years ago
- Data Efficient Decision Making☆250Updated 3 years ago
- A Python package for modular causal inference analysis and model evaluations☆809Updated 10 months ago
- [Experimental] Global causal discovery algorithms☆112Updated 2 weeks ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆345Updated last year
- A Python sandbox for decision making in dynamics☆425Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Updated last month
- ☆205Updated 2 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Updated 5 years ago
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- For calculating global feature importance using Shapley values.☆284Updated last week
- Causal Inference in Python☆576Updated 7 months ago
- DoubleML - Double Machine Learning in Python☆704Updated last week
- A data index for learning causality.☆483Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆154Updated last year
- Materials Collection for Causal Inference☆47Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- ☆521Updated last year