martenlienen / torchodeLinks
A parallel ODE solver for PyTorch
☆266Updated last year
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☆408Updated 4 months ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆267Updated 3 years ago
- Run PyTorch in JAX. 🤝☆294Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 3 months ago
- Use Jax functions in Pytorch☆251Updated 2 years ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆473Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 6 months ago
- Running Jax in PyTorch Lightning☆113Updated 9 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated 2 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆283Updated 3 years ago
- Turn SymPy expressions into trainable JAX expressions.☆351Updated 5 months ago
- Pytorch-like dataloaders for JAX.☆94Updated 4 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆288Updated last week
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆644Updated this week
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆121Updated 10 months ago
- Turning SymPy expressions into PyTorch modules.☆152Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆141Updated 3 months ago
- Diffusion models in PyTorch☆111Updated 2 weeks ago
- ☆175Updated last year
- Compositional Linear Algebra☆492Updated 2 months ago
- Differentiable signal processing on the sphere for PyTorch☆535Updated last week
- Newton and Quasi-Newton optimization with PyTorch☆364Updated 4 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆67Updated 6 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Geometric kernels on manifolds, meshes and graphs☆271Updated 2 months ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 2 months ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆106Updated 2 years ago
- Implementation of Action Matching☆46Updated 2 years ago