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

Refine high-quality datasets and visual AI models

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.

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

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.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…

Deep Active Learning

Pool-based active learning in Python

A curated list of awesome Active Learning

Active learning for systematic reviews

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Curated list of open source tooling for data-centric AI on unstructured data.

MONAI Label is an intelligent open source image labeling and learning tool.

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

Active Learning for Text Classification in Python