dragen1860 / pytorch-mnist-vae
Pytorch Implementation of variational auto-encoder for MNIST
☆60Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-mnist-vae
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆59Updated 2 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆42Updated 6 months ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- ☆89Updated 5 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆46Updated last year
- A Pytorch Implementation of the Beta-VAE☆40Updated 5 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆90Updated 3 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆30Updated 3 years ago
- ☆146Updated 2 years ago
- ☆75Updated 6 months ago
- Quantitative evaluation of disentangled representations☆61Updated 6 years ago
- Implementation of Glow in PyTorch☆79Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆47Updated 4 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆46Updated 5 months ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆38Updated 5 years ago
- ☆26Updated 5 years ago
- ☆68Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago