Alternatives and similar repositories for mcvae

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

• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆69Updated 6 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆48Updated 4 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆26Updated 4 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆103Updated 4 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated 2 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 6 years ago
• KurochkinAlexey / SOM-VAE
  Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf
  ☆33Updated 6 years ago
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆143Updated 3 years ago
• alistairewj / challenge2012
  Python code parsing data from PhysioNet Challenge 2012
  ☆22Updated 6 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆70Updated 4 years ago
• zdy93 / FTL-Trans
  Time-Aware Transformer-based Network for Clinical Notes Series Prediction
  ☆23Updated last year
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• mfbalin / Concrete-Autoencoders
  ☆119Updated 3 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆108Updated 3 years ago
• Harry24k / MIDA-pytorch
  PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
  ☆28Updated 6 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆40Updated 2 weeks ago
• Mind-the-Pineapple / adversarial-autoencoder
  Tensorflow 2.0 implementation of Adversarial Autoencoders
  ☆20Updated 6 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆81Updated 3 years ago
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago
• ahmedmalaa / evaluating-generative-models
  ☆22Updated 2 years ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆25Updated 3 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago