#Active-learning
Showing 37 of 37 repositories tagged #active-learning, ranked by stars
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.
Everything you need about Active Learning (AL).
Active learning for systematic reviews
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 curated list of awesome Active Learning
Pool-based active learning in Python
Curated list of open source tooling for data-centric AI on unstructured data.
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
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
A web-based document annotation tool, powered by GPT-4 :rocket:
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
🧬 A JupyterLab extension for annotating data with Prodigy
Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
PyTorch dataset debugger for computer vision — pause training, mine live loss signals to surface mislabels, class imbalance & outliers, then curate your image, video & LiDAR data without restarting
PyTorch library for Active Fine-Tuning
The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper
An interactive dashboard for visualisation, integration and classification of data using Active Learning.
A simple client for doccano API.
A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.
Python module for data scientists for quick creating annotation projects.
MatDesign: a programming-free AI platform to predict and design materials
Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.
Family-aware evolutionary alpha mining with LLM-guided symbolic hybridization.
[NeurIPS 2025 Spotlight] Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection
Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB
Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))