google-research / torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
☆1,596Updated 2 weeks ago
Alternatives and similar repositories for torchsde:
Users that are interested in torchsde are comparing it to the libraries listed below
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,426Updated 8 months ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,382Updated 4 months ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,515Updated this week
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆719Updated 10 months ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆633Updated 2 years ago
- Optax is a gradient processing and optimization library for JAX.☆1,754Updated this week
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆423Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,306Updated 10 months ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆5,713Updated last month
- Awesome resources on normalizing flows.☆1,473Updated last week
- Normalizing flows in PyTorch☆869Updated 3 weeks ago
- Pytorch implementation of Augmented Neural ODEs☆534Updated last year
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆944Updated 4 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆273Updated 3 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆634Updated 4 years ago
- Constrained optimization toolkit for PyTorch☆664Updated 2 years ago
- Differentiable convex optimization layers☆1,855Updated last month
- Normalizing flows in PyTorch. Current intended use is education not production.☆850Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆428Updated 4 months ago
- PyTorch implementation of normalizing flow models☆768Updated 4 months ago
- JAX-based neural network library☆2,939Updated last month
- A simple probabilistic programming language.☆681Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,627Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,193Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,364Updated this week
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,476Updated this week
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆535Updated 4 years ago
- JAX - A curated list of resources https://github.com/google/jax☆1,660Updated 6 months ago
- A parallel ODE solver for PyTorch☆244Updated 3 months ago
- Bayesian optimization in PyTorch☆3,148Updated this week