Machine Learning & Applications (MaLA)'s repositories
DFB
Official PyTorch implementation of the paper “Improving Open-World Classification with Disentangled Foreground and Background Features”
deep-iforest
Implementation of TKDE paper "Deep Isolation Forest for Anomaly Detection"
TAM-master
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
ADer
ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
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)
Awesome-Deep-Graph-Anomaly-Detection
A repository for resources of deep learning-based graph anomaly detection.
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"
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
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