fmu2 / flow-VAELinks
Variational Autoencoder (VAE) with Normalizing Flows
☆62Updated 8 months ago
Alternatives and similar repositories for flow-VAE
Users that are interested in flow-VAE are comparing it to the libraries listed below
Sorting:
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- (FTML 2021) Official implementation of Dynamical VAEs☆230Updated 2 years ago
- PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.☆173Updated 3 years ago
- [ICML2022] Variational Wasserstein gradient flow☆23Updated 2 years ago
- A minimalist implementation of score-based diffusion model☆127Updated 3 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- VQ-VAE implementation in Pytorch☆24Updated 5 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆82Updated 5 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆144Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆62Updated 3 months ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- Pytorch Reimplementation of DiffWave Vocoder: a high quality, fast, and small neural vocoder.☆90Updated 4 years ago
- The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)☆77Updated 6 months ago
- PyTorch implementations of normalizing flow and its variants.☆79Updated 4 years ago
- Normalizing flows in PyTorch☆395Updated 3 weeks ago
- PyTorch implementation of Variational Diffusion Models.☆86Updated last year
- ☆26Updated 10 months ago
- Stochastic Normalizing Flows☆77Updated 3 years ago
- Code for Neural Spline Flows paper☆275Updated 5 years ago
- Official PyTorch implementation of "EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders"☆11Updated 9 months ago
- ☆155Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆161Updated 4 months ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated last month
- ☆23Updated 4 years ago
- Code repository for Particle Denoising Diffusion Sampler☆14Updated last year
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Updated 2 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆73Updated 5 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆82Updated last year
- Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)☆190Updated 2 years ago