EleMisi / ConditionalVAE

Related projects: ⓘ

• dariocazzani / pytorch-AE
  Autoencoders in PyTorch
  ☆82Updated 2 years ago
• julian-carpenter / beta-TCVAE
  Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).
  ☆15Updated 4 years ago
• jxmorris12 / categorical-vae
  Categorical Variational Auto-encoders in PyTorch
  ☆18Updated 2 years ago
• mvaldenegro / keras-uncertainty
  Utilities to perform Uncertainty Quantification on Keras Models
  ☆112Updated 6 months ago
• UBCDingXin / improved_CcGAN
  Continuous Conditional Generative Adversarial Networks (CcGAN)
  ☆115Updated last year
• tianlinxu312 / cot-gan
  COT-GAN: Generating Sequential Data via Causal Optimal Transport
  ☆37Updated 3 years ago
• dragen1860 / pytorch-mnist-vae
  Pytorch Implementation of variational auto-encoder for MNIST
  ☆60Updated 5 years ago
• hellojinwoo / TorchCoder
  PyTorch based autoencoder for sequential data
  ☆43Updated 3 years ago
• matthew-liu / beta-vae
  A Pytorch Implementation of the Beta-VAE
  ☆40Updated 5 years ago
• AndrewSpano / Disentangled-Variational-Autoencoder
  PyTorch Implementations of a VAE and a beta-VAE.
  ☆58Updated 3 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆37Updated 6 months ago
• zecevic-matej / SMLW-Causality-Tutorial
  Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…
  ☆21Updated 2 years ago
• shivakanthsujit / VAE-PyTorch
  Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch
  ☆28Updated 11 months ago
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated last year
• HenningBuhl / VQ-VAE_Keras_Implementation
  Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
  ☆29Updated 3 years ago
• probabilistic-learning / HI-VAE
  ☆86Updated last year
• johaupt / GANbalanced
  ☆18Updated 4 years ago
• Harry24k / MIDA-pytorch
  PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
  ☆24Updated 5 years ago
• lstruski / Processing-of-missing-data-by-neural-networks
  ☆41Updated 5 years ago
• sedelmeyer / wasserstein-auto-encoder
  A brief tutorial on the Wasserstein auto-encoder
  ☆83Updated 5 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆124Updated last year
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 5 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆36Updated 4 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆56Updated 3 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated 11 months ago
• guxd / deepHMM
  A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]
  ☆53Updated last month
• Baukebrenninkmeijer / On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
  Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
  ☆41Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆41Updated last year
• sayakpaul / Barlow-Twins-TF
  TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
  ☆41Updated 3 years ago
• crmaximo / VAEGAN
  Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆53Updated 6 years ago