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 package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )

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

multilabel classification of EHR notes

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

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

A PyTorch-based toolkit for natural language processing

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

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

Multi-Label Learning from Single Positive Labels - CVPR 2021

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")

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

2017 Spring (105-2) -- Machine Learning

multilabel-learn: Multilabel-Classification Algorithms

codes for TGRS paper: Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval

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

XGBoost Medium article code