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
  ☆56Updated 2 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆39Updated 3 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated 6 months ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆23Updated 2 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆60Updated last year
• Minqi824 / ADGym
  Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023
  ☆33Updated 2 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• PreckLi / RAHG
  Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
  ☆11Updated last year
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆50Updated 2 years ago
• WangXuhongCN / OCGNN
  my implement of my paper
  ☆65Updated 4 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆25Updated 3 years ago
• jiaxililearn / HRGCN
  Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"
  ☆14Updated 2 years ago
• mkrzywda / GraphTransformers
  Sandbox to analysis and benchmarking Graph Transformer Neural Networks
  ☆36Updated 2 years ago
• mohsengh / SCFS
  Unsupervised Feature Selection based on Adaptive Similarity Learning and Subspace Clustering
  ☆14Updated 4 years ago
• haoyfan / AnomalyDAE
  AnomalyDAE (ICASSP2020)
  ☆52Updated 5 years ago
• Wang-ML-Lab / TSDA
  [ICML 2023] Taxonomy-Structured Domain Adaptation
  ☆12Updated 2 years ago
• bit-ml / AnoShift
  ☆55Updated last year
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 4 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆49Updated 5 months ago
• lllyyq1121 / UniGAD
  ☆27Updated 11 months ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 4 years ago
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• watml / Fed-MGDA
  ☆29Updated 3 years ago
• julzerinos / python-fuzzy-cognitve-maps
  Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
  ☆22Updated 4 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆57Updated 4 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆58Updated 2 years ago
• SherylHYX / GNNRank
  Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
  ☆54Updated 3 years ago
• LwbXc / STBench
  ☆21Updated 2 months ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆83Updated 2 years ago