Machine Learning & Applications (MaLA)

GGAD

This code is for paper "Generative Semi-supervised Graph Anomaly Detection"

STEN

Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.

DeLoMe

Code for Graph Continual Learning with Debiased Lossless Memory Replay (DeLoMe)

DFB

Official PyTorch implementation of the paper “Improving Open-World Classification with Disentangled Foreground and Background Features”

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InCTRL

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

OpenCIL

Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"

deep-iforest

Implementation of TKDE paper "Deep Isolation Forest for Anomaly Detection"

COCL

Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)

TAM-master

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

AHL

Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

ADer

ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

NegPrompt

The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"

WinCLIP

Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same zero-/few-shot AD performance as that in the original paper.

TriAD

Official repository for the paper "Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution." This repository houses the implementation of the proposed solution, providing a self-supervised tri-domain approach for effective time series anomaly detection.

AnomalyCLIP

Official implementation for paper "Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection" (ICLR 2024)

SIC-CADS

Code Implementation of "Simple Image-level Classification Improves Open-vocabulary Object Detection" (AAAI'24)

AUGCL

Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"

VadCLIP

Official implementation of AAAI'24 paper "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection"

Awesome-Deep-Graph-Anomaly-Detection

A repository for resources of deep learning-based graph anomaly detection.

ADShift

Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

mepu-owod

Code Implementation of "Unsupervised Recognition of Unknown Objects for Open-World Object Detection"

HRGCN

Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"

rosas

Official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision

ASE

Source code of PRJ paper "Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds"

HimNet

Code for ECMLPKDD23 paper "Graph-level Anomaly Detection via Hierarchical Memory Networks" (HimNet)

out-of-distribution-detection-resources

Top-tier conference papers on out-of-distribution detection

PReNet

Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"

Glocal

Implementation of CVPR'23 paper "Glocal Energy-based Learning for Few-Shot Open-Set Recognition"

ADRepository-Anomaly-detection-datasets

Popular real-world datasets for anomaly detection on tabular data, graph data, image data, time series data, and video data