bayesiains / nflowsLinks
Normalizing flows in PyTorch
☆979Updated 11 months ago
Alternatives and similar repositories for nflows
Users that are interested in nflows are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of normalizing flow models☆917Updated last year
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Updated 4 years ago
- Normalizing flows in PyTorch☆435Updated 3 weeks ago
- Awesome resources on normalizing flows.☆1,596Updated 5 months ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆662Updated 5 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Updated 5 months ago
- Code for Neural Spline Flows paper☆283Updated 2 months ago
- Laplace approximations for Deep Learning.☆529Updated 8 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆463Updated last year
- Constrained optimization toolkit for PyTorch☆705Updated 4 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,544Updated last year
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆289Updated 4 years ago
- Masked Autoregressive Flow☆218Updated last year
- Framework for Easily Invertible Architectures☆843Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆463Updated 3 months ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆905Updated 5 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 2 months ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆676Updated last month
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆601Updated 3 weeks ago
- Implementation of Real NVP in PyTorch☆237Updated 6 years ago
- Geometric loss functions between point clouds, images and volumes☆669Updated 8 months ago
- A PyTorch implementation of L-BFGS.☆623Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆286Updated 4 years ago
- Newton and Quasi-Newton optimization with PyTorch☆370Updated 6 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆275Updated 3 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,689Updated 11 months ago