microsoft / project-azua
Data Efficient Decision Making
☆246Updated 2 years ago
Alternatives and similar repositories for project-azua:
Users that are interested in project-azua are comparing it to the libraries listed below
- ☆475Updated 3 months ago
- AutoML for causal inference.☆220Updated 3 months ago
- ☆209Updated 11 months ago
- [Experimental] Global causal discovery algorithms☆98Updated 3 weeks ago
- A resource list for causality in statistics, data science and physics☆264Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 3 months ago
- Causal Graphical Models in Python☆244Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆136Updated 9 months ago
- Example causal datasets with consistent formatting and ground truth☆80Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆277Updated last year
- 💊 Comparing causality methods in a fair and just way.☆138Updated 5 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆66Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- A Python package for modular causal inference analysis and model evaluations☆762Updated last week
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆136Updated 8 months ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆115Updated last year
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆759Updated 8 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- ☆204Updated 2 years ago
- A Python sandbox for decision making in dynamics☆422Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆72Updated 4 years ago
- An experimental language for causal reasoning☆197Updated this week
- Repository with code and slides for a tutorial on causal inference.☆574Updated 5 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- DoubleML - Double Machine Learning in Python☆564Updated 2 weeks ago
- Makes algorithms/code in Tetrad available in Python via JPype☆72Updated last week
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 7 months ago
- Bayesian Additive Regression Trees For Python☆223Updated last year