Alternatives and similar repositories for RobustVAE

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

• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• qianlima-lab / TSN
  The paper "Triple-shapelet Networks for Time Series Classification"
  ☆15Updated 5 years ago
• abojchevski / paican
  Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
  ☆25Updated 5 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 5 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 6 years ago
• titu1994 / Adversarial-Attacks-Time-Series
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆24Updated 6 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆88Updated 3 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆60Updated 2 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 7 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
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 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
• boyangumn / DCN
  This is outdated -- New version: https://github.com/boyangumn/DCN-New
  ☆94Updated 7 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• eyounx / GANMM
  Mixture of Generative Adversarial Networks for Clustering
  ☆16Updated 7 years ago
• GuHY777 / VaDE-pytorch
  the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch
  ☆138Updated 2 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 4 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆63Updated 4 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆29Updated 6 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 years ago
• ngoc-nguyen-0 / DGG
  Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…
  ☆52Updated 5 years ago
• spindro / GINN
  Graph Imputation Neural Network
  ☆79Updated 5 years ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 4 years ago