Alternatives and similar repositories for RareGAN:

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

• titu1994 / Adversarial-Attacks-Time-Series
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆22Updated 6 years ago
• dmzou / RSRAE
  Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
  ☆38Updated 4 years ago
• GuansongPang / deep-outlier-detection
  Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…
  ☆48Updated 4 years ago
• bit-ml / AnoShift
  ☆48Updated 9 months ago
• AnonAuthorAI / duplebalance
  DuBE: Duple-balanced Ensemble Learning from Skewed Data
  ☆9Updated 2 years ago
• houshd / TS_Adv
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆19Updated 6 years ago
• tufts-ml / GAN-Ensemble-for-Anomaly-Detection
  This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
  ☆39Updated 3 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆42Updated 2 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• acphile / RTSGAN
  ☆38Updated 3 years ago
• yj-zhou / Feature_Encoding_with_AutoEncoders_for_Weakly-supervised_Anomaly_Detection
  ☆43Updated 3 years ago
• floft / calda
  Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation
  ☆28Updated 3 years ago
• VirtuosoResearch / Regularized-Self-Labeling
  A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models
  ☆28Updated 2 years ago
• somepago / AMA
  The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).
  ☆16Updated 3 years ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆79Updated last year
• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆18Updated 6 months ago
• jhoon-oh / kd_data
  IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
  ☆40Updated 2 years ago
• fanxingliu2020 / FedTADBench
  ☆21Updated 2 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated last year
• divelab / sopool
  Second-Order Pooling for Graph Neural Networks
  ☆16Updated 4 years ago
• tbw162 / AA-BiGAN
  Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
  ☆22Updated 2 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆41Updated 4 years ago
• shangxinyi / FEDIC
  ☆20Updated 3 years ago
• Minqi824 / ADGym
  Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023
  ☆29Updated last year
• RainbowPillow / federatedlearning_daily
  ☆9Updated last year
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆28Updated 3 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• cmu-transparency / aaai-2021-tutorial
  Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
  ☆18Updated 4 years ago