msuzen / looperLinks
A resource list for causality in statistics, data science and physics
☆266Updated 2 weeks ago
Alternatives and similar repositories for looper
Users that are interested in looper are comparing it to the libraries listed below
Sorting:
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆154Updated 3 weeks ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- AutoML for causal inference.☆231Updated 10 months ago
- ☆33Updated last year
- ☆128Updated this week
- Causal Graphical Models in Python☆249Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated last month
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 5 months ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆786Updated 4 months ago
- [Experimental] Global causal discovery algorithms☆109Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆246Updated 2 weeks ago
- Data Efficient Decision Making☆248Updated 3 years ago
- A Python package for modular causal inference analysis and model evaluations☆797Updated 7 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- A Python package for causal inference in quasi-experimental settings☆1,057Updated this week
- DoubleML - Double Machine Learning in Python☆672Updated this week
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Bayesian Additive Regression Trees For Python☆232Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 6 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆224Updated last year
- ☆551Updated last year
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆355Updated this week
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆286Updated last week
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- ☆470Updated last year
- Bayesian time series forecasting and decision analysis☆119Updated 2 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated last month
- List of python packages for causal inference☆17Updated 4 years ago
- Python package for conformal prediction☆541Updated last month