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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 fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A modular active learning framework for Python

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

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.

Everything you need about Active Learning (AL).

Deep Active Learning

Pool-based active learning in Python

Active learning for systematic reviews