AI owned by you, governed democratically, for the benefit of society.
GC.OS (German Centre for Open Source AI) is dedicated to advancing open source AI software through democratic governance and community-driven development. Our mission is to make AI accessible, transparent, and beneficial for everyone.
For more information, visit gcos.ai
GC.OS supports the following open source AI projects:
- feature-engine - Feature engineering for AI models
- hyperactive - A unified interface for optimization algorithms and problems
- pgmpy - Python library for Causal AI
- prophetverse - A unified interface for structured time series models and marketing mix modelling
- pytorch-forecasting - PyTorch/Lightning based models for time series forecasting
- pygam - Generalized Additive Models in Python
- pykalman - Kalman Filters in Python
- pyportfolioopt - Financial portfolio optimisation in Python
- pytorch-tabular - Deep Learning Models for tabular data
- shap - The framework for explainable AI
- skbase - Base classes and framework canvas for scikit-learn-compatible packages
- skforecast - Time series forecasting using machine learning models
- skpro - Supervised probabilistic prediction in Python
- sktime - The unified framework for AI with time series
Learn more about getting involved at gcos.ai
