LibMultiLabel — a Library for Multi-class and Multi-label Text Classification

LibMultiLabel is a library for binary, multi-class, and multi-label classification. It has the following functionalities

• end-to-end services from raw texts to final evaluation/analysis
• support for common neural network architectures and linear classifiers
• easy hyper-parameter selection

This is an on-going development so many improvements are still being made. Comments are very welcome.

Environments

• Python: 3.8+
• CUDA: 11.6 (if training neural networks by GPU)
• Pytorch 1.13.1+

If you have a different version of CUDA, follow the installation instructions for PyTorch LTS at their website.

Documentation

See the documentation here: https://www.csie.ntu.edu.tw/~cjlin/libmultilabel