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.github

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-ensemble-learning

Ensemble learning related books, papers, videos, and toolboxes

cmu-catalyst.github.io

coding-questions

Elements in Interview C++ alternative solutions

combo

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

data-mining-conferences

Ranking, acceptance rate, deadline, and publication tips

datastructure_cpp

It is a repository to store multiple implementation of data structures and algorithms in C++ written by me in the past several years.

dcso

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

elect

Toward Unsupervised Outlier Model Selection (ICDM 2022)

fedod

financial-models

hpod

AutoML 2024: HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection

lscp

Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"

metaod

Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)

mlmm

A Monitoring framework to track Machine Learning Model training processes

mmad

multimodal anomaly detection

od-econometrics

Outlier Detection and Removal for Econometrics Models

outlierdetection.jl

A Julia Library for Outlier Detection (Anomaly Detection)

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

pytod

TOD: GPU-accelerated Outlier Detection via Tensor Operations

scikit-learn-doc-zh

scikit-learn（sklearn） translation in Chinese （中文官方文档）

siml

SImilarity Measure Library: an extended python library for measuring similarities

simulation-modeling-with-machine-learning

The project demonstrate how to incorporate simulation modeling with machine learning techniques

smartwatch_unlock

Supplementary materials for ISWC paper "An empirical study of touch-based authentication methods on smartwatches"

suod

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

uoms

Resources and environment for unsupervised outlier model selection (UOMS)

wsad

A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

xgbod

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"