The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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.

The open-source tool for building high-quality datasets and computer vision models

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

A modular active learning framework for Python

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

📈 Adaptive: parallel active learning of mathematical functions

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.

Bayesian active learning library for research and industrial usecases.