timbmg / VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
☆585Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for VAE-CVAE-MNIST
- A Variational Autoencoder (VAE) implemented in PyTorch☆409Updated 2 years ago
- Pytorch implementation of β-VAE☆522Updated 3 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆512Updated 3 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆297Updated 4 years ago
- Vector Quantized VAEs - PyTorch Implementation☆840Updated last year
- PyTorch Implementation of InfoGAN☆322Updated 2 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆294Updated 4 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆320Updated 4 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆786Updated 3 years ago
- PyTorch implementation of VQ-VAE by Aäron van den Oord et al.☆529Updated 4 years ago
- Experiments for understanding disentanglement in VAE latent representations☆795Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆262Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆341Updated 2 years ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆254Updated 3 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆706Updated 4 years ago
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆727Updated 7 months ago
- Variational AutoEncoder + ResNet Transfer Learning☆222Updated 2 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆333Updated 5 years ago
- Wasserstein Auto-Encoders☆508Updated 6 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆490Updated 7 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆186Updated 6 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆197Updated 2 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆351Updated 4 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 5 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆116Updated 5 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆806Updated 5 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,149Updated 6 months ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆289Updated 6 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆282Updated 2 years ago
- a simple vae and cvae from keras☆1,267Updated 3 years ago