microsoft / showwhyLinks
☆212Updated last year
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.☆228Updated 7 months ago
- ☆497Updated 7 months ago
- Data Efficient Decision Making☆247Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- A Python package for modular causal inference analysis and model evaluations☆782Updated 4 months ago
- Fit Sparse Synthetic Control Models in Python☆83Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆294Updated 3 months ago
- DoubleML - Double Machine Learning in Python☆631Updated 2 weeks ago
- Python port of CausalImpact R library☆291Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 3 months ago
- Repository with code and slides for a tutorial on causal inference.☆577Updated 5 years ago
- [Experimental] Global causal discovery algorithms☆106Updated last week
- A Python package for causal inference in quasi-experimental settings☆1,026Updated this week
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated last year
- ☆20Updated 4 months ago
- Causal Inference in Python☆571Updated last month
- ☆117Updated last year
- A Python package for causal inference using Synthetic Controls☆187Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Resources related to causality☆265Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆775Updated last month
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated 2 weeks ago
- Experimental library integrating LLM capabilities to support causal analyses☆230Updated this week
- A resource list for causality in statistics, data science and physics☆265Updated 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…☆206Updated last year
- Causal Graphical Models in Python☆246Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 6 months ago
- Unstructured Code with interesting analysis☆37Updated 9 months ago