vislearn / FrEIA
Framework for Easily Invertible Architectures
☆772Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for FrEIA
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆606Updated 3 years ago
- PyTorch implementation of normalizing flow models☆723Updated 2 months ago
- Normalizing flows in PyTorch☆848Updated last year
- PyTorch implementation of Glow☆519Updated 3 years ago
- Awesome resources on normalizing flows.☆1,438Updated last month
- Official Code for Invertible Residual Networks☆519Updated 3 months ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,024Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆376Updated 2 years ago
- Implementation of Real NVP in PyTorch☆224Updated 5 years ago
- Geometric loss functions between point clouds, images and volumes☆595Updated 10 months ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆629Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆272Updated 11 months ago
- PyTorch implementations of algorithms for density estimation☆577Updated 3 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆434Updated 6 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆263Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆417Updated 2 years ago
- A pytorch port of google-research/google-research/robust_loss/☆664Updated 3 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆284Updated 3 years ago
- Approximating Wasserstein distances with PyTorch☆455Updated last year
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆678Updated 9 months ago
- Experiments for understanding disentanglement in VAE latent representations☆795Updated last year
- Gaussian mixture models in PyTorch.☆516Updated last year
- Vector Quantized VAEs - PyTorch Implementation☆845Updated last year
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆84Updated 4 years ago
- Minimalist implementation of VQ-VAE in Pytorch☆517Updated 3 years ago
- Pytorch implementation of β-VAE☆525Updated 3 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆95Updated 4 years ago
- pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"☆507Updated 5 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆787Updated 3 years ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,503Updated last year