microsoft / showwhyLinks
☆219Updated last month
Alternatives and similar repositories for showwhy
Users that are interested in showwhy are comparing it to the libraries listed below
Sorting:
- AutoML for causal inference.☆236Updated last year
- ☆521Updated last year
- Data Efficient Decision Making☆250Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆809Updated 10 months ago
- Repository with code and slides for a tutorial on causal inference.☆582Updated 6 years ago
- Fit Sparse Synthetic Control Models in Python☆89Updated last year
- Editing machine learning models to reflect human knowledge and values☆128Updated 2 years ago
- Causal Inference in Python☆576Updated 7 months ago
- DoubleML - Double Machine Learning in Python☆704Updated last week
- 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
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆313Updated 9 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆352Updated 2 years ago
- Resources related to causality☆267Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆788Updated 2 months ago
- A resource list for causality in statistics, data science and physics☆267Updated last week
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- [Experimental] Global causal discovery algorithms☆112Updated 2 weeks ago
- A Python package for causal inference using Synthetic Controls☆192Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,098Updated this week
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Updated last month
- Causal Graphical Models in Python☆249Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- ☆22Updated 10 months ago
- Experimental library integrating LLM capabilities to support causal analyses☆287Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆662Updated last year
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆63Updated 2 weeks ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆235Updated this week
- Bayesian Additive Regression Trees For Python☆231Updated 2 years ago