Alternatives and similar repositories for RobustVAE

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

• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆23Updated 6 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 7 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆48Updated 5 years ago
• probabilistic-learning / HI-VAE
  ☆92Updated 2 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆89Updated 3 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 5 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆62Updated 2 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 3 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• abojchevski / paican
  Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
  ☆25Updated 5 years ago
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 7 years ago
• titu1994 / Adversarial-Attacks-Time-Series
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆24Updated 6 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆64Updated 5 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 4 years ago
• brandeis-machine-learning / FairOutlierDetection
  Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection
  ☆11Updated 4 years ago
• acphile / RTSGAN
  ☆42Updated 4 years ago
• razhangwei / CAUSE
  ☆32Updated 3 years ago
• caus-am / dom_adapt
  Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
  ☆18Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 6 years ago
• dmzou / RSRAE
  Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
  ☆37Updated 5 years ago
• mrojascarulla / causal_transfer_learning
  ☆33Updated 7 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆25Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 7 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆69Updated 5 years ago
• boyangumn / DCN
  This is outdated -- New version: https://github.com/boyangumn/DCN-New
  ☆94Updated 7 years ago