AutoEmulate — Peer-reviewed • Rank 13.0 • Science 98%

AutoEmulate: A Python package for semi-automated emulation - Published in JOSS (2025)

Efficiently Learning Relative Similarity Embeddings with Crowdsourcing — Peer-reviewed • Rank 3.2 • Science 98%

Efficiently Learning Relative Similarity Embeddings with Crowdsourcing - Published in JOSS (2023)

AstronomicAL — Peer-reviewed • Rank 4.2 • Science 93%

AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning - Published in JOSS (2021)

scikit-activeml • Rank 16.3 • Science 77%

scikit-activeml: Python library for active learning on top of scikit-learn

dpgen • Rank 10.3 • Science 77%

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

active-learning-as-a-service • Rank 6.8 • Science 77%

A scalable & efficient active learning/data selection system for everyone.

monailabel • Rank 19.6 • Science 64%

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

asreview-insights • Rank 12.3 • Science 67%

Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB

asreview • Rank 19.2 • Science 57%

Active learning for systematic reviews

https://github.com/bin-cao/bgolearn • Rank 10.9 • Science 59%

[Materials & Design 2024 | NPJ com mat 2024] Offical implement of Bgolearn

chemprop • Rank 7.9 • Science 59%

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

profit • Rank 10.6 • Science 54%

Probabilistic Response mOdel Fitting with Interactive Tools

adaptive • Rank 20.8 • Science 39%

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

aerial_wildlife_detection • Rank 8.2 • Science 46%

Tools for detecting wildlife in aerial images using active learning

https://github.com/VowpalWabbit/vowpal_wabbit • Rank 14.9 • Science 36%

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 • Rank 13.1 • Science 36%

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

baal • Rank 9.9 • Science 36%

Bayesian active learning library for research and industrial usecases.

https://github.com/bamresearch/mapz_at_bam • Science 26%

Materials Acceleration Platform Center at BAM

et-al • Science 67%

Entropy-targeted active learning for bias mitigation in materials data.

boroml • Science 49%

This repo contains data and scripts for MLIPs for borophene on silver

deep_active_learning_biore • Science 67%

Framework to study the use of deep active learning for biomedical relation extraction

egsis • Science 26%

EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

pyepal • Science 67%

Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

https://github.com/aim-uofa/divergen • Science 26%

DiverGen (CVPR 2024) & BSGAL (ICML 2024)

alambic • Science 44%

Django framework for active learning tasks

mcity_data_engine • Science 52%

Mcity Data Engine

calisim • Science 44%

A toolbox for the calibration and evaluation of simulation models.

https://github.com/hcmlab/nova • Science 39%

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.

etikedi • Science 44%

calisim-examples-workshop-material • Science 44%

Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.

lstar • Science 44%

Python implementation of lstar automata learning algorithm.

bayesvlm • Science 54%

Code for Post-hoc Probabilistic Vision-Language Models

ppal • Science 54%

[CVPR 2024] Plug and Play Active Learning for Object Detection

https://github.com/asreview/paper-megameta-hyperparameter-training • Science 10%

Hyperparameter-training for the Mega-Meta project

https://github.com/asreview/paper-depression-brouwer-simulation-atd • Science 23%

Scripts for the simulation study obtaining the average time to discovery performed on the Depression-data from the systematic review by Brouwer et al. (2019)

https://github.com/cabralpinto/active-learning-syllabification • Science 36%

Language Agnostic Syllabification with Active Learning

marich • Science 28%

Marich is a model-agnostic extraction algorithm. It uses a public data to query a private model, aggregates the predicted labels, and construct a distributionall equivalent/max-information leaking extracted model.

bachelor_thesis_project • Science 44%

System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning