[ISBI 2024] Accurate Subtyping of Lung Cancers by Modelling Class Dependencies

3rd Place, Visual Prompt Tuning Challenge @ CVPR 2023 HIT Workshop (2023)

Dataset of coral images conditions in Koh Tao, Thailand

YOLIC is a real-time object detection method based on cell-wise segmentation and multi-label classification. It is designed to provide efficient and accurate object detection on low-cost devices.

Steam Review aspect dataset for multi-label classification task.

A library for multi-class and multi-label text classification

A library for multi-class and multi-label classification

A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

Multi label classification with sklearn

Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.

Applying Transformer-based models to the imbalanced multi-label Reuters News Dataset text classification task.

A data science project utilizing machine learning to predict movie release years and genres based on directors' previous works.

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

A multi-label language identification dataset based on regional Indian languages. It contains 5 languages (Hindi, Bengali, Malayalam, Kannada, and English) with the presence of two scripts per image (implying the multi-linguality). The dataset is diverse in nature with the existence of curved, perspective distorted, and multi-oriented text in ad…

Consistent Optimization of Label-wise Utilities in Multi-label classificatioN

A curated list of papers on multi-label learning on graphs (MLLG).

The web scraping code extracts detailed product information, forming the foundation for ML-based categorization. Two methods are implemented for assigning category tags to products based on their titles. Model 1: Advanced Custom Classification in AWS Comprehend. Model 2: Fine-tuned BERT Language Model.

[TIP] Deep Label Distribution Learning with Label Ambiguity

A multi-label text classifier designed to categorize quotations into 138 various genres.

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)