Machine Learning & Applications (MaLA)
Change the repository type filter
All
Repositories list
56 repositories
- A curated list of anomaly detection with large language model, visual large model and graph foundation model papers & resources
AnomalyGFM
PublicOfficial PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"- 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
GGAD
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.APT
PublicHaMI
PublicOfficial implementation for ''Robust Hallucination Detection in LLMs via Adaptive Token Selection'' https://arxiv.org/abs/2504.07863RHO
PublicOfficial PyTorch implementation of ''Semi-supervised Graph Anomaly Detection via Robust Homophily Learning'' https://arxiv.org/abs/2506.15448UNPrompt
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".github
PublicHVI-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"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.