henrhoi / vae-pytorchLinks
Various Latent Variable Models implementations in Pytorch, including VAE, VAE with AF Prior, VQ-VAE and VQ-VAE with Gated PixelCNN
☆19Updated 5 years ago
Alternatives and similar repositories for vae-pytorch
Users that are interested in vae-pytorch are comparing it to the libraries listed below
Sorting:
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆119Updated 2 years ago
- A σ-VAE implementation in PyTorch☆101Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Updated 4 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆80Updated 3 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 5 years ago
- A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"☆75Updated 5 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆200Updated 2 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆198Updated 3 years ago
- Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)☆193Updated 3 years ago
- A minimalist implementation of score-based diffusion model☆129Updated 4 years ago
- Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"☆378Updated 3 years ago
- PyTorch implementations of normalizing flow and its variants.☆79Updated 4 years ago
- (FTML 2021) Official implementation of Dynamical VAEs☆234Updated 2 years ago
- Implementation of Flow++ in PyTorch☆40Updated 6 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆83Updated 5 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 4 years ago
- PyTorch implementation of FiLM: Visual Reasoning with a General Conditioning Layer☆64Updated 6 years ago
- An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence☆20Updated 3 months ago
- Mixture density network implemented in PyTorch.☆152Updated 2 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆126Updated 3 years ago
- PyTorch implementation of diffusion models.☆60Updated 4 years ago
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…☆76Updated 2 years ago
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆151Updated 4 years ago
- Easy Hypernetworks in Pytorch and Jax☆106Updated 2 years ago
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆370Updated 4 years ago
- ☆42Updated last year
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆83Updated last year
- PyTorch implementation of Variational Diffusion Models.☆104Updated last year
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago