Active Learning Systems ML Frameworks

Tools, frameworks, and curated resources for active learning methodologies including data selection, annotation strategies, and pipeline implementation. Does NOT include general machine learning frameworks, semi-supervised learning without active sampling, or domain-specific applications (e.g., medical diagnosis) without active learning as the primary focus.

There are 38 active learning systems frameworks tracked. 4 score above 50 (established tier). The highest-rated is python-adaptive/adaptive at 67/100 with 1,216 stars and 36,208 monthly downloads.

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# Framework Score Tier
1 python-adaptive/adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of...

67
Established
2 ntucllab/libact

Pool-based active learning in Python

67
Established
3 scikit-activeml/scikit-activeml

scikit-activeml: A Comprehensive and User-friendly Active Learning Library

65
Established
4 NUAA-AL/ALiPy

ALiPy: Active Learning in Python is an active learning python toolbox, which...

55
Established
5 ai4co/awesome-fm4co

Recent research papers about Foundation Models for Combinatorial Optimization

44
Emerging
6 weiaicunzai/awesome-image-classification

A curated list of deep learning image classification papers and codes

43
Emerging
7 baal-org/baal

Bayesian active learning library for research and industrial usecases.

43
Emerging
8 gmalivenko/awesome-computer-vision-models

A list of popular deep learning models related to classification,...

42
Emerging
9 jonhue/activeft

PyTorch library for Active Fine-Tuning

41
Emerging
10 joisino/seafaring

Code for "Active Learning from the Web" (WWW 2023)

39
Emerging
11 JosephKJ/Awesome-Novel-Class-Discovery

A list of papers that studies Novel Class Discovery

39
Emerging
12 cure-lab/deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

38
Emerging
13 Thinklab-SJTU/awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

38
Emerging
14 dholzmueller/bmdal_reg

Deep Batch Active Learning for Regression

37
Emerging
15 cshjin/awesome-nonconvex-optimization

A collection of papers and readings for non-convex optimization

37
Emerging
16 PrateekMunjal/TorchAL

Official implementation of our paper: Towards Robust and Reproducible Active...

37
Emerging
17 baifanxxx/awesome-active-learning

A curated list of awesome Active Learning

37
Emerging
18 NVlabs/AL-MDN

Official pytorch implementation of Active Learning for deep object detection...

36
Emerging
19 scho97/awesome-large-neuroimaging-models

A curated list of large-scale foundation models for neuroimaging data

33
Emerging
20 HuaizhengZhang/Active-Learning-as-a-Service

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

30
Emerging
21 Qingrenn/TSFM-ScalingLaws

[ICLR 2025] Official implementation of "Towards Neural Scaling Laws for Time...

29
Experimental
22 SupeRuier/awesome-active-learning

Everything you need about Active Learning (AL).

28
Experimental
23 ege-erdogan/awesome-weight-space-learning

Awesome papers on weight-space learning

26
Experimental
24 Clearloveyuan/awesome-active-learning-New

Active Learning Awesome Paper

26
Experimental
25 stefanoteso/awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

26
Experimental
26 yongjin-shin/awesome-active-learning

Awesome Active Learning Paper List

26
Experimental
27 liuzy0708/Awesome-OL

A General Toolkit for Advanced Online Learning, Online Active Learning,...

25
Experimental
28 AminParvaneh/alpha_mix_active_learning

The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper

25
Experimental
29 NanboLi/FACTS

[ICLR 2025] Implementation of "FACTS: A Factored State-Space Framework For...

22
Experimental
30 zhenyuanlu/awesome-pain-intensity-classification-papers

A comprehensive list of pain intensity classification papers mainly based on...

20
Experimental
31 Adamdad/DeRy

[NeurIPS2022] Deep Model Reassembly

20
Experimental
32 justinkay/coda

Consensus-Driven Active Model Selection (ICCV 2025 Highlight)

18
Experimental
33 paartheee/awesome-models

The Awesome Models is where the developer's to download PyTorch , Keras and...

15
Experimental
34 nettashafir/active_learning_with_label_noise

Official PyTorch Implementation for the "Active Learning with a Noisy...

15
Experimental
35 samiraat/Awesome-Sea-Ice-Papers

Awesome list of papers on sea ice, covering semi-supervised learning and...

12
Experimental
36 ValentinMargraf/ActiveLearningPipelines

Specificy, execute and monitor performances of active learning pipelines.

11
Experimental
37 chenyaofo/awesome-vision-architecture

An up-to-date list of progress made in deep learning vision architectures

10
Experimental
38 FinJun/Awesome-DFL-papers

📑 List of awesome DFL's papers

10
Experimental