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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

Self-Learning, Active and Passive Learning with SVMs and KMeans

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Bayesian active learning library for research and industrial usecases.

Everything you need about Active Learning (AL).

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.

Deep Active Learning

Pool-based active learning in Python