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 last week
Alternatives and similar repositories for flowtorch:
Users that are interested in flowtorch are comparing it to the libraries listed below
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Normalizing flows in PyTorch☆363Updated 2 weeks ago
- Normalizing flows in PyTorch☆893Updated 2 months ago
- ☆555Updated 3 weeks ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆286Updated 4 years ago
- Code for Neural Spline Flows paper☆266Updated 4 years ago
- Laplace approximations for Deep Learning.☆498Updated last month
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆572Updated 2 months ago
- ☆213Updated 3 years ago
- A library for programmatically generating equivariant layers through constraint solving☆265Updated last year
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Turn SymPy expressions into trainable JAX expressions.☆330Updated last month
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆275Updated last year
- ☆240Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆437Updated 6 months ago
- Normalizing Flows using JAX☆82Updated last year
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆571Updated last week
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated this week
- Gaussian processes in JAX.☆486Updated 2 weeks ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆433Updated last year
- Large-scale, multi-GPU capable, kernel solver☆186Updated 8 months ago
- A parallel ODE solver for PyTorch☆250Updated 5 months ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 6 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆278Updated 3 years ago
- Masked Autoregressive Flow☆210Updated 7 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆106Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- ☆149Updated 2 years ago