AL-anode-free

Deep universal probabilistic programming with Python and PyTorch

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

A modular active learning framework for Python

A general-purpose probabilistic programming system with programmable inference

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

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

LightweightMMM ? is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Bayesian active learning library for research and industrial usecases.

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.