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 40 active learning systems frameworks tracked. 2 score above 70 (verified tier). The highest-rated is ntucllab/libact at 73/100 with 789 stars. 2 of the top 10 are actively maintained.

Get all 40 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	ntucllab/libact Pool-based active learning in Python	73	Verified	789	Python
2	scikit-activeml/scikit-activeml scikit-activeml: A Comprehensive and User-friendly Active Learning Library	72	Verified	186	Python
3	python-adaptive/adaptive :chart_with_upwards_trend: Adaptive: parallel active learning of...	64	Established	1,216	Python
4	NUAA-AL/ALiPy ALiPy: Active Learning in Python is an active learning python toolbox, which...	57	Established	899	Python
5	ai4co/awesome-fm4co Recent research papers about Foundation Models for Combinatorial Optimization	51	Established	486	—
6	baal-org/baal Bayesian active learning library for research and industrial usecases.	50	Established	923	Python
7	gmalivenko/awesome-computer-vision-models A list of popular deep learning models related to classification,...	49	Emerging	542	—
8	jonhue/activeft PyTorch library for Active Fine-Tuning	48	Emerging	97	Python
9	joisino/seafaring Code for "Active Learning from the Web" (WWW 2023)	46	Emerging	116	Python
10	JosephKJ/Awesome-Novel-Class-Discovery A list of papers that studies Novel Class Discovery	46	Emerging	515	—
11	Thinklab-SJTU/awesome-ml4co Awesome machine learning for combinatorial optimization papers.	45	Emerging	2,087	Python
12	cure-lab/deep-active-learning An implementation of the state-of-the-art Deep Active Learning algorithms	45	Emerging	108	Python
13	PrateekMunjal/TorchAL Official implementation of our paper: Towards Robust and Reproducible Active...	44	Emerging	69	Jupyter Notebook
14	cshjin/awesome-nonconvex-optimization A collection of papers and readings for non-convex optimization	44	Emerging	31	—
15	dholzmueller/bmdal_reg Deep Batch Active Learning for Regression	44	Emerging	73	Python
16	baifanxxx/awesome-active-learning A curated list of awesome Active Learning	44	Emerging	796	—
17	weiaicunzai/awesome-image-classification A curated list of deep learning image classification papers and codes	43	Emerging	3,053	—
18	NVlabs/AL-MDN Official pytorch implementation of Active Learning for deep object detection...	43	Emerging	176	Python
19	scho97/awesome-large-neuroimaging-models A curated list of large-scale foundation models for neuroimaging data	37	Emerging	2	—
20	HuaizhengZhang/Active-Learning-as-a-Service A scalable & efficient active learning/data selection system for everyone.	37	Emerging	218	Python
21	Qingrenn/TSFM-ScalingLaws [ICLR 2025] Official implementation of "Towards Neural Scaling Laws for Time...	36	Emerging	22	Jupyter Notebook
22	SupeRuier/awesome-active-learning Everything you need about Active Learning (AL).	35	Emerging	974	—
23	ege-erdogan/awesome-weight-space-learning Awesome papers on weight-space learning	33	Emerging	35	—
24	stefanoteso/awesome-explanatory-supervision List of relevant resources for machine learning from explanatory supervision	33	Emerging	163	TeX
25	yongjin-shin/awesome-active-learning Awesome Active Learning Paper List	33	Emerging	148	—
26	Clearloveyuan/awesome-active-learning-New Active Learning Awesome Paper	33	Emerging	133	Markdown
27	liuzy0708/Awesome-OL A General Toolkit for Advanced Online Learning, Online Active Learning,...	32	Emerging	22	Python
28	AminParvaneh/alpha_mix_active_learning The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper	32	Emerging	88	Python
29	NanboLi/FACTS [ICLR 2025] Implementation of "FACTS: A Factored State-Space Framework For...	29	Experimental	29	Python
30	zhenyuanlu/awesome-pain-intensity-classification-papers A comprehensive list of pain intensity classification papers mainly based on...	27	Experimental	12	—
31	Adamdad/DeRy [NeurIPS2022] Deep Model Reassembly	27	Experimental	253	Python
32	paartheee/awesome-models The Awesome Models is where the developer's to download PyTorch , Keras and...	22	Experimental	21	—
33	nettashafir/active_learning_with_label_noise Official PyTorch Implementation for the "Active Learning with a Noisy...	21	Experimental	7	Python
34	justinkay/coda Consensus-Driven Active Model Selection (ICCV 2025 Highlight)	21	Experimental	12	Python
35	samiraat/Awesome-Sea-Ice-Papers Awesome list of papers on sea ice, covering semi-supervised learning and...	19	Experimental	3	—
36	ValentinMargraf/ActiveLearningPipelines Specificy, execute and monitor performances of active learning pipelines.	18	Experimental	24	Python
37	chenyaofo/awesome-vision-architecture An up-to-date list of progress made in deep learning vision architectures	17	Experimental	1	—
38	FinJun/Awesome-DFL-papers 📑 List of awesome DFL's papers	17	Experimental	4	—
39	LAMDA-Model-Reuse/Awesome-Model-Reuse A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained...	14	Experimental	7	—
40	MarshaGomez/Multilabel-Classification The dataset is made up of WikiHow articles. We propose a unified multi-class...	10	Experimental	2	Java

Comparisons in this category

awesome-fm4co and awesome-ml4co (51 vs 45) scikit-activeml and ALiPy (72 vs 57) libact and scikit-activeml (73 vs 72) libact and deep-active-learning (73 vs 45) scikit-activeml and Active-Learning-as-a-Service (72 vs 37) scikit-activeml and deep-active-learning (72 vs 45)