vislearn / FrEIALinks
Framework for Easily Invertible Architectures
☆844Updated last year
Alternatives and similar repositories for FrEIA
Users that are interested in FrEIA are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Updated 4 years ago
- PyTorch implementation of normalizing flow models☆912Updated last year
- Normalizing flows in PyTorch☆978Updated 11 months ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,082Updated 3 years ago
- Awesome resources on normalizing flows.☆1,594Updated 5 months ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Official Code for Invertible Residual Networks☆534Updated last year
- PyTorch implementation of Glow☆543Updated 4 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆387Updated 3 years ago
- Experiments for understanding disentanglement in VAE latent representations☆834Updated 2 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆449Updated 7 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆663Updated 5 years ago
- A pytorch port of google-research/google-research/robust_loss/☆693Updated 3 months ago
- Geometric loss functions between point clouds, images and volumes☆669Updated 8 months ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆756Updated last year
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Pytorch implementation of β-VAE☆555Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago
- E(2)-Equivariant CNNs Library for Pytorch☆664Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆832Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Updated 2 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆512Updated 6 years ago
- Gaussian mixture models in PyTorch.☆583Updated 2 years ago
- Easy generative modeling in PyTorch☆438Updated 2 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆233Updated 3 years ago
- Vector Quantized VAEs - PyTorch Implementation☆941Updated 2 years ago
- Laplace approximations for Deep Learning.☆529Updated 7 months ago
- PyTorch implementation of realNVP☆90Updated last year