Alternatives and similar repositories for DeepMCDD

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

• boschresearch / NeuTraL-AD
  Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021
  ☆47Updated 3 years ago
• JayoungKim408 / STaSy
  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023
  ☆30Updated 2 years ago
• lironber / GOAD
  Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
  ☆90Updated last year
• somepago / AMA
  The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).
  ☆16Updated 4 years ago
• mperezcarrasco / PyTorch-DAGMM
  Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
  ☆65Updated 5 years ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆30Updated 4 years ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆58Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆121Updated 2 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• tufts-ml / GAN-Ensemble-for-Anomaly-Detection
  This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
  ☆39Updated 4 years ago
• boschresearch / local_neural_transformations
  Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…
  ☆16Updated 3 years ago
• maksym33 / FeatureImportanceDL
  ☆42Updated 2 years ago
• bit-ml / AnoShift
  ☆51Updated last year
• JayoungKim408 / SOS
  ☆10Updated 2 years ago
• bigdyl-kaist / OCTGAN
  PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)
  ☆15Updated 2 years ago
• layer6ai-labs / WinIT
  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
  ☆26Updated 2 years ago
• tuslkkk / tadpak
  Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)
  ☆31Updated 3 years ago
• yuji-roh / fairbatch
  FairBatch: Batch Selection for Model Fairness (ICLR 2021)
  ☆20Updated 2 years ago
• mperezcarrasco / PyTorch-BiGAN
  This is my PyTorch implementation of BiGAN
  ☆15Updated 5 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• boschresearch / LatentOE-AD
  Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
  ☆40Updated 3 years ago
• sheoyon-jhin / EXIT
  EXIT : Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
  ☆13Updated last year
• kaist-dmlab / SELFIE
  ☆52Updated 5 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆120Updated 4 years ago
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 3 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆29Updated 3 years ago
• ahujak / IB-IRM
  ☆31Updated 3 years ago
• nazim1021 / OOD-detection-using-OECC
  Outlier Exposure with Confidence Control for Out-of-Distribution Detection
  ☆71Updated 4 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆42Updated 4 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆73Updated last year