0. Papers - 当前论文
Everything you need about Active Learning (AL).
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
2. Reviews & Tutorials - 相关综述及教程 >Reviews / Surveys - 综述:
2. Reviews & Tutorials - 相关综述及教程 >Benchmarks - 基线:
2. Reviews & Tutorials - 相关综述及教程 >Tutorials - 教程
Active Learning from Theory to Practice
Robert Nowak & Steve Hanneke
Overview of Active Learning for Deep Learning
Jacob Gildenblat
7. Codes / Libraries - 代码与工具包
AL playground
Python(scikit-learn, keras)
libact
Python(scikit-learn)
ALiPy
Python(scikit-learn)
pytorch_active_learning
Python(pytorch)
DeepAL
Python(scikit-learn, pytorch)
BaaL
Python(scikit-learn, pytorch)
lrtc
Python(scikit-learn, tensorflow)
Small-text
Python(scikit-learn, pytorch)
DeepCore
Python(scikit-learn, pytorch)
PyRelationAL: A Library for Active Learning Research and Development
Python(scikit-learn, pytorch)
DeepAL+
Python(scikit-learn, pytorch)
ALaaS
Python(scikit-learn)
8. Scholars / Groups - 著名学者及团队
Shengjun Huang
(NUAA)
Dongrui Wu
(Active Learning for Regression)
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