Alternatives and similar repositories for autosmote

Users that are interested in autosmote are comparing it to the libraries listed below

• daochenzha / Meta-AAD
  [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
  ☆51Updated 2 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 2 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆23Updated 2 years ago
• lgalke / lifelong-learning
  Lifelong Learning of Graph Neural Networks for Open-World Node Classification
  ☆30Updated last year
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆44Updated 2 years ago
• ssarfraz / QuoVadisTAD
  Time Series Anomaly Detection
  ☆38Updated last year
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆63Updated 3 years ago
• bit-ml / AnoShift
  ☆50Updated 10 months ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆56Updated last year
• xu737 / PeFAD
  ☆19Updated 7 months ago
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated last year
• BUPT-GAMMA / LafAK
  The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)
  ☆18Updated 4 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• jiaxililearn / HRGCN
  Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"
  ☆12Updated last year
• hans66hsu / GATS
  Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)
  ☆23Updated last year
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆79Updated last year
• Practicing-Federated-Learning-for-IoT / Anomaly-Detection-via-Federated-Transformer
  ☆11Updated 3 years ago
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆19Updated last year
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆26Updated 2 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆58Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated last week
• agoodge / APAE
  Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
  ☆7Updated 2 years ago
• BUPT-GAMMA / CaGCN
  This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
  ☆22Updated 3 years ago
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆38Updated 4 years ago
• Kaixiong-Zhou / EGNN
  Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
  ☆26Updated 3 years ago
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆57Updated 3 years ago
• junxia97 / ProGCL
  [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
  ☆45Updated 2 years ago
• yfzhang114 / OneNet
  This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…
  ☆117Updated 6 months ago