simop07/multilabel_classification

Developed and compared Logistic Regression and fine-tuned DistilBERT models for multilabel text classification. Refined decision boundary through optimized per-label thresholds and evaluated performances with F1 score and ROC-AUC curves.

19
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Python

License

MIT

Category

bert-text-classification

Last pushed

Feb 06, 2026

Commits (30d)

0

GitHub
BERT Text Classification · 100 tools

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/simop07/multilabel_classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

fidelity/textwiser

[AAAI 2021] TextWiser: Text Featurization Library

63

RandolphVI/Multi-Label-Text-Classification

About Muti-Label Text Classification Based on Neural Network.

51

ThilinaRajapakse/pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for...

50

xuyige/BERT4doc-Classification

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

48

allenai/scibert

A BERT model for scientific text.

48

Explore NLP Tools

All categories Trending NLP directory Insights