Cleanlab 的开源库是标准的以数据为中心的 AI 包,用于杂乱真实数据和标签场景下的数据质量与机器学习。
active-learning 开源项目推荐(1,031 个)
active-learning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,031 个仓库细化高质量数据集和视觉AI模型
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 是一款协作工具,供 AI 工程师和领域专家构建高质量数据集
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.
📈 Adaptive: parallel active learning of mathematical functions
系统综述的主动学习
Everything you need about Active Learning (AL).
Bayesian active learning library for research and industrial usecases.
MONAI Label is an intelligent open source image labeling and learning tool.
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.
一系列异常检测方法(基于iid/点、图和时间序列),包括用于异常检测/发现的主动学习、贝叶斯规则挖掘、多样性/解释性/可解释性的描述。分析将标签反馈与集合和树状检测器结合。包含图卷积网络的对抗性攻击。
Deep Active Learning
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
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
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/active-learning。
- 该话题在 GitHub 上共有 1,031 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 5.3 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。