Cornell-MOE

Deep universal probabilistic programming with Python and PyTorch

Automated Machine Learning with scikit-learn

A highly efficient implementation of Gaussian Processes in PyTorch

Fast and Easy Infinite Neural Networks in Python

A modular active learning framework for Python

Gaussian processes in TensorFlow

A general-purpose probabilistic programming system with programmable inference

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

Seminars DeepBayes Summer School 2018