Machine Learning & Applications (MaLA)
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46 repositories
- Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.
FCM
Public- Official implementation for "Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation" (NeurIPS'24)
UNPrompt
PublicCode for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"GGAD
PublicOfficial implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"- Official code for "Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach" (NeurIPS 2024).
FAPrompt
Public- Official PyTorch implementation of the ACM Multimedia 2024 paper “Improving Out-of-distribution Detection with Disentangled Foreground and Background Features”
InCTRL
PublicOfficial implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.
.github
PublicOpenCIL
PublicOfficial code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"deep-iforest
PublicImplementation of TKDE paper "Deep Isolation Forest for Anomaly Detection"- Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
AHL
PublicOfficial implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.ADer
PublicADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
WinCLIP
PublicImplementation 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
PublicOfficial 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
PublicOfficial implementation for paper "Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection" (ICLR 2024)SIC-CADS
PublicCode Implementation of "Simple Image-level Classification Improves Open-vocabulary Object Detection" (AAAI'24)AUGCL
PublicOfficial code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"VadCLIP
PublicOfficial implementation of AAAI'24 paper "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection"ADShift
PublicOfficial PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”mepu-owod
PublicCode Implementation of "Unsupervised Recognition of Unknown Objects for Open-World Object Detection"HRGCN
PublicCode Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"rosas
PublicOfficial implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision