Paper ID: 2111.15258

DeepAL: Deep Active Learning in Python

Kuan-Hao Huang

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.

Submitted: Nov 30, 2021