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

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

A modular active learning framework for Python

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

Deep Active Learning

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…

The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field

Pool-based active learning in Python

Active learning for systematic reviews

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.

Active Learning for Text Classification in Python

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

A simple client for doccano API.

📈 Adaptive: parallel active learning of mathematical functions

Machine Learning for Computer Security

Tools for detecting wildlife in aerial images using active learning

Bayesian Optimization and Design of Experiments

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog: