German Center for Open Source AI
German Center for Open Source AI (GC.OS) builds open source AI software and a sovereign tech stack that is democratically run by its users. For a list of our supported projects, please visit: https://gcos.ai/projects.
GSoC Participation History
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Past Projects
Pairwise Causal Discovery Algorithms in pgmpy
This project adds pairwise causal discovery methods to pgmpy, focusing on inferring causal direction between two variables from observational data....
On-line, Stream/Update Functionality for Regression
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
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
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
pyGAM currently produces anti-conservative p-values for smooth terms due to several deviations from the statistical theory outlined in Wood (2013b)....
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