vislearn / FrEIALinks
Framework for Easily Invertible Architectures
☆814Updated 11 months ago
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☆625Updated 3 years ago
- PyTorch implementation of normalizing flow models☆847Updated 9 months ago
- Normalizing flows in PyTorch☆924Updated 5 months ago
- Awesome resources on normalizing flows.☆1,533Updated last month
- Official Code for Invertible Residual Networks☆527Updated 10 months ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,050Updated 2 years ago
- PyTorch implementation of Glow☆536Updated 3 years ago
- Implementation of Real NVP in PyTorch☆232Updated 5 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆644Updated 4 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- A pytorch port of google-research/google-research/robust_loss/☆684Updated 3 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆384Updated 2 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆97Updated 5 years ago
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- Geometric loss functions between point clouds, images and volumes☆630Updated 2 months ago
- Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch☆839Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- Experiments for understanding disentanglement in VAE latent representations☆820Updated 2 years ago
- Fast, differentiable sorting and ranking in PyTorch☆815Updated 2 weeks ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆512Updated 6 years ago
- Normalizing flows in PyTorch☆391Updated 2 weeks ago
- Approximating Wasserstein distances with PyTorch☆459Updated 2 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆369Updated 5 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆869Updated 5 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆819Updated 3 years ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆443Updated 7 years ago