janosh / awesome-normalizing-flowsLinks
Awesome resources on normalizing flows.
☆1,533Updated last month
Alternatives and similar repositories for awesome-normalizing-flows
Users that are interested in awesome-normalizing-flows are comparing it to the libraries listed below
Sorting:
- Normalizing flows in PyTorch☆921Updated 5 months ago
- PyTorch implementation of normalizing flow models☆847Updated 9 months ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆625Updated 3 years ago
- Normalizing flows in PyTorch☆391Updated 2 weeks ago
- Framework for Easily Invertible Architectures☆812Updated 11 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,504Updated last year
- Normalizing flows in PyTorch. Current intended use is education not production.☆869Updated 5 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆644Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models☆750Updated 2 years ago
- A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.☆819Updated 3 years ago
- TorchCFM: a Conditional Flow Matching library☆1,778Updated 3 months ago
- "Deep Generative Modeling": Introductory Examples☆1,191Updated 9 months ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,439Updated 9 months ago
- 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
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,918Updated 10 months ago
- Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,676Updated 2 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆694Updated 2 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,050Updated 2 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,654Updated 5 months ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆1,941Updated 11 months ago
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆759Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆604Updated 3 weeks ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆728Updated last year
- Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics☆482Updated 8 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,512Updated last week