Machine Learning & Applications (MaLA)
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46 repositories
- Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"
- Official code for "Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach" (NeurIPS 2024).
- Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.
AdaptOD
PublicOfficial implementation for "Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation" (NeurIPS'24)FAPrompt
PublicFCM
PublicGGAD
PublicThis code is for paper "Generative Semi-supervised Graph Anomaly Detection"DFB
PublicOfficial 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'.STEN
PublicOfficial 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"COCL
PublicOfficial implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)TAM-master
PublicOfficial 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.NegPrompt
PublicThe 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