LuisArmandoPerez / DiffusionVAELinks
☆29Updated 3 years ago
Alternatives and similar repositories for DiffusionVAE
Users that are interested in DiffusionVAE are comparing it to the libraries listed below
Sorting:
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆29Updated 7 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 years ago
- Variational Autoencoder with Arbitrary Conditioning☆81Updated last year
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago
- ☆54Updated last year
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆50Updated 4 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Updated 4 years ago
- ☆68Updated 2 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- ☆24Updated 3 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago