Pairwise Causal Discovery Algorithms in pgmpy
Contributor: aryaman.iiit
This project adds pairwise causal discovery methods to pgmpy, focusing on inferring causal direction between two variables from observational data....
Data
German Center for Open Source AI
Democratically governed AI for society
Technologies
Pythonpytorchscikit-learn
Topics
Causal Inferencemachine learningtime-series
- Total projects
- 5
- Years participating
- 1
- Most recent
- 2026
Participation history
Historical projects
On-line, Stream/Update Functionality for Regression
Contributor: Chaitany Patel
skpro's probabilistic regressors have limited online/streaming support: only 3 of 20+ regressors implement update(), few meta-strategies exist, and...
Deep Learning-Based Causal Discovery Algorithms for pgmpy
Contributor: manas206
This proposal aims to implement three deep learning-based causal discovery algorithms in pgmpy: DiffAN, GraN-DAG, and CAREFL. Each algorithm...
sktime - Interfacing Foundation models
Contributor: Vedant Agrawal
sktime provides a unified Python API for time series forecasting, but its support for modern foundation models, large pretrained models capable of...
Correcting Statistical Inference for Smooth Terms in pyGAM - Accurate p values
Contributor: vsl366
pyGAM currently produces anti-conservative p-values for smooth terms due to several deviations from the statistical theory outlined in Wood (2013b)....