facebookincubator / flowtorch
This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.
☆305Updated 2 weeks ago
Alternatives and similar repositories for flowtorch:
Users that are interested in flowtorch are comparing it to the libraries listed below
- Normalizing flows in PyTorch☆368Updated 3 weeks ago
- Normalizing flows in PyTorch☆896Updated 3 months ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆286Updated 4 years ago
- Laplace approximations for Deep Learning.☆498Updated last month
- A library for programmatically generating equivariant layers through constraint solving☆265Updated last year
- Code for Neural Spline Flows paper☆266Updated 4 years ago
- ☆556Updated this week
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆437Updated 7 months ago
- A library for uncertainty quantification based on PyTorch☆123Updated 3 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆573Updated last week
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆276Updated last year
- Normalizing Flows using JAX☆83Updated last year
- Large-scale, multi-GPU capable, kernel solver☆186Updated 8 months ago
- ☆214Updated 3 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆574Updated 3 months ago
- Gaussian processes in JAX.☆489Updated this week
- Turn SymPy expressions into trainable JAX expressions.☆332Updated 2 months ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 7 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated this week
- Run PyTorch in JAX. 🤝☆232Updated last month
- A parallel ODE solver for PyTorch☆251Updated 5 months ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 11 months ago
- ☆240Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated 2 weeks ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆126Updated 7 months ago
- PyTorch implementation of normalizing flow models☆813Updated 7 months ago
- Masked Autoregressive Flow☆210Updated 8 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆392Updated this week
- Compositional Linear Algebra☆466Updated this week