gmishne / DiffusionNet
Diffusion Net TensorFlow implementation
☆11Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for DiffusionNet
- Implementation and tutorials of normalizing flows with the novel distributions module☆160Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆89Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆79Updated 5 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆81Updated 10 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- ☆89Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 5 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Adversarial Non-linear Independent Component Analysis☆49Updated 7 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆144Updated 2 months ago
- Pytorch implementation of Block Neural Autoregressive Flow☆176Updated 3 years ago
- InfoMax-VAE pytorch implementation☆23Updated 4 months ago
- ☆36Updated last year
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆58Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆48Updated 3 years ago
- ☆146Updated 2 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆39Updated 3 years ago
- Optimal transport transforms☆20Updated 6 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆284Updated 3 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆64Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆60Updated 6 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆86Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago