DeepAL: Deep Active Learning in Python

Kuan-Hao Huang

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arXiv · 2111.15258

DeepAL: Deep Active Learning in Python

Kuan-Hao Huang

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Abstract

We present DeepAL, a Python library that implements several common strategies for active learning, with a particular emphasis on deep active learning. DeepAL provides a simple and unified framework based on PyTorch that allows users to easily load custom datasets, build custom data handlers, and design custom strategies without much modification of codes. DeepAL is open-source on Github and welcome any contribution.

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BibTeX RIS

Kuan-Hao Huang. 2021-11-30. DeepAL: Deep Active Learning in Python. https://arxiv.org/abs/2111.15258

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