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.
☆300Updated 6 months ago
Related projects: ⓘ
- Normalizing flows in PyTorch☆306Updated 3 weeks ago
- Manifold-learning flows (ℳ-flows)☆230Updated 3 years ago
- Laplace approximations for Deep Learning.☆447Updated this week
- Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.☆499Updated this week
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆283Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆407Updated 3 weeks ago
- Normalizing flows in PyTorch☆831Updated 10 months ago
- ☆529Updated 2 months ago
- Large-scale, multi-GPU capable, kernel solver☆179Updated 2 months ago
- ☆215Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆555Updated 4 months ago
- A library for programmatically generating equivariant layers through constraint solving☆252Updated last year
- ☆231Updated last year
- Gaussian processes in JAX.☆436Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆313Updated 4 months ago
- A library for uncertainty quantification based on PyTorch☆118Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆299Updated 3 weeks ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆257Updated 10 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆88Updated last week
- Compositional Linear Algebra☆390Updated 2 weeks ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆207Updated 4 months ago
- Constrained optimization toolkit for PyTorch☆649Updated 2 years ago
- Named tensors with first-class dimensions for PyTorch☆321Updated last year
- Parameter-Free Optimizers for Pytorch☆105Updated 4 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆117Updated 3 weeks ago
- Code for Neural Spline Flows paper☆256Updated 4 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆106Updated this week
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆265Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆474Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆269Updated 9 months ago