active-learning

Cleanlab's open-source library is 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.

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Active learning for systematic reviews

Everything you need about Active Learning (AL).

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.

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

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 Convolutional Network.

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

A curated list of awesome Active Learning

Pool-based active learning in Python

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

Active Learning for Text Classification in Python

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

Bayesian Optimization and Design of Experiments