Alternatives and similar repositories for RobustVAE

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

• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆59Updated 2 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• ninghaohello / Interpretation2Adversary
  Adversarial learning by utilizing model interpretation
  ☆10Updated 6 years ago
• abojchevski / paican
  Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
  ☆24Updated 5 years ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• titu1994 / Adversarial-Attacks-Time-Series
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆22Updated 6 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• Call2CodeAI / RAD_and_DeepAutoencoder
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆9Updated 6 years ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆24Updated 2 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 7 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 2 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆29Updated 2 years ago
• acphile / RTSGAN
  ☆39Updated 3 years ago
• lstruski / Processing-of-missing-data-by-neural-networks
  ☆43Updated 6 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆86Updated 2 years ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 6 years ago
• naiqili / DGPG
  Code for paper Stochastic Deep Gaussian Processes over Graphs
  ☆21Updated 3 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 7 years ago
• rcamino / imputation-dgm
  Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
  ☆32Updated 6 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)
  ☆50Updated 5 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆43Updated 7 months ago