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 platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

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.

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…

Bayesian active learning library for research and industrial usecases.

Pool-based active learning in Python

Deep Active Learning

Everything you need about Active Learning (AL).

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

A curated list of awesome Active Learning

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

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

Active learning for systematic reviews

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

Active Learning for Text Classification in Python