Machine Learning & Applications (MaLA)
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60 repositories
- A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc
MTAttack
PublicHaMI
Public[NeurIPS 2025] Official implementation for ''Robust Hallucination Detection in LLMs via Adaptive Token Selection'' https://arxiv.org/abs/2504.07863SEMPO
Public[NeurIPS 2025] Official implementation of "SEMPO: Lightweight Foundation Models for Time Series Forecasting"RHO
Public[NeurIPS 2025] Official PyTorch implementation of ''Semi-supervised Graph Anomaly Detection via Robust Homophily Learning'' https://arxiv.org/abs/2506.15448APT
Public- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection
- ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
AnomalyGFM
PublicOfficial PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection".github
PublicGGAD
PublicOfficial implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"NSReg
PublicOfficial PyTorch implementation of ICLR'25 paper "Open-Set Graph Anomaly Detection via Normal Structure Regularisation"FAPrompt
PublicOfficial PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".InCTRL
PublicOfficial implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.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.UNPrompt
PublicOfficial Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"AUGCL
PublicOfficial code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"HVI-CIDNet
PublicLogADReft
PublicFCM
PublicTPP
PublicOfficial code for "Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach" (NeurIPS 2024).AdaptOD
PublicOfficial implementation for "Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation" (NeurIPS'24)DFB
PublicOfficial PyTorch implementation of the ACM Multimedia 2024 paper “Improving Out-of-distribution Detection with Disentangled Foreground and Background Features”OLE
PublicDeLoMe
PublicSTEN
PublicOfficial implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.OpenCIL
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"