luis-armando-perez-rey / diffusion_vae
☆23Updated 3 years ago
Alternatives and similar repositories for diffusion_vae:
Users that are interested in diffusion_vae are comparing it to the libraries listed below
- ☆29Updated 3 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆81Updated last year
- ☆20Updated 2 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 2 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆22Updated 6 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated 2 years ago
- Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)☆16Updated 9 months ago
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆58Updated 2 years ago
- General Invertible Transformations for Flow-based Generative Models☆17Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- ☆15Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆54Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- ☆28Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆73Updated 2 years ago
- Denoising Diffusion Implicit Models☆28Updated 3 years ago
- ☆31Updated 3 years ago
- This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on…☆12Updated 5 years ago
- We got a stew going!☆27Updated last year
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated 5 months ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- ☆19Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Train a Mixture of Factor Analyzers (MFA) / Mixture of Probabilistic PCA (MPPCA) - low-rank-plus-diagonal GMMs using pytorch☆40Updated 2 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Updated 2 years ago