Machine Learning


ADBench Anomaly Detection Benchmark

PyGOD (Python Graph Outlier Detection)

A Python Library for Graph Outlier Detection (Anomaly Detection) and Its Benchmark

TODS: An Automated Time Series Outlier Detection System

Therapeutics Data Commons (TDC)

Machine Learning Datasets and Tasks for Drug Discovery and Development

Combining Machine Learning Models Using combo Library

Model combination, often regarded as a key sub-field of ensemble learning, has been widely used in both academic research and industry applications. To facilitate this process, we propose and implement an easy-to-use Python toolkit, combo, to …


SUOD Accelerating Large-scale Unsupervised Heterogeneous Outlier Detection

Music Artist Classification with Convolutional Recurrent Neural Networks

Previous attempts at music artist classification use frame level audio features which summarize frequency content within short intervals of time. Comparatively, more recent music information retrieval tasks take advantage of temporal structure in …


A Python Toolbox for Machine Learning Model Combination.

Employee Turnover Prediction with Machine Learning: A Reliable Approach

Supervised machine learning methods are described, demonstrated and assessed for the prediction of employee turnover within an organization. In this study, numerical experiments for real and simulated human resources datasets representing …

Python Outlier Detection Toolbox

PyOD--A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).