multilabel-classification

An index of algorithms for learning causality with data

Machine Learning in R

scikit-learn cross validators for iterative stratification of multilabel data

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI

multilabel classification of EHR notes

CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）

Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.

A PyTorch-based toolkit for natural language processing

This library has been moved to https://github.com/ntumlgroup/LibMultiLabel

FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Multi-Label Learning from Single Positive Labels - CVPR 2021

Implementation of Focal Loss (Lin et al., 2017, Facebook AI Research) for handling class imbalance by focusing learning on hard, misclassified examples.

Multi-Label Image Classification of Chest X-Rays In Pytorch

[CVPR 2023] Official code repository for "How you feelin'? Learning Emotions and Mental States in Movie Scenes". https://arxiv.org/abs/2304.05634

We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

[AACL 2020] Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

Instructions, exercises and example data sets for Annif hands-on tutorial

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