martenlienen / torchodeLinks
A parallel ODE solver for PyTorch
☆255Updated 8 months ago
Alternatives and similar repositories for torchode
Users that are interested in torchode are comparing it to the libraries listed below
Sorting:
- Normalizing flows in PyTorch☆384Updated last month
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆202Updated 6 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆423Updated this week
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆251Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated this week
- Run PyTorch in JAX. 🤝☆245Updated 3 months ago
- Newton and Quasi-Newton optimization with PyTorch☆347Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆110Updated 2 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆279Updated 3 years ago
- Use Jax functions in Pytorch☆242Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Differentiable signal processing on the sphere for PyTorch☆460Updated last week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆445Updated this week
- Running Jax in PyTorch Lightning☆101Updated 5 months ago
- Gaussian processes in JAX and Flax.☆515Updated 2 weeks ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆275Updated last week
- PyTorch implementation of normalizing flow models☆838Updated 9 months ago
- Differentiable scientific computing library☆150Updated 9 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆600Updated 2 weeks ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆448Updated 9 months ago
- Turn SymPy expressions into trainable JAX expressions.☆337Updated last month
- Normalizing flows in PyTorch☆920Updated 5 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- Laplace approximations for Deep Learning.☆505Updated last month
- ☆315Updated 2 years ago
- ☆260Updated 8 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,489Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆436Updated last year
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆108Updated 6 months ago
- Compositional Linear Algebra☆474Updated last week