martenlienen / torchodeLinks
A parallel ODE solver for PyTorch
β260Updated 9 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 PyTorchβ396Updated last month
- Run PyTorch in JAX. π€β256Updated last week
- Use Jax functions in Pytorchβ244Updated 2 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, anβ¦β253Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness aβ¦β306Updated 2 weeks ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorchβ111Updated 4 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/β437Updated last month
- Running Jax in PyTorch Lightningβ104Updated 6 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAXβ205Updated 7 months ago
- Compositional Linear Algebraβ478Updated last month
- Code for the paper "Learning Differential Equations that are Easy to Solve"β281Updated 3 years ago
- Turning SymPy expressions into PyTorch modules.β148Updated last year
- Pytorch-like dataloaders for JAX.β90Updated last month
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.β614Updated last week
- Diffusion models in PyTorchβ106Updated 3 weeks ago
- Differentiable signal processing on the sphere for PyTorchβ476Updated this week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.β280Updated last week
- Turn SymPy expressions into trainable JAX expressions.β343Updated 2 months ago
- β158Updated last year
- Newton and Quasi-Newton optimization with PyTorchβ354Updated last month
- Sampling with gradient-based Markov Chain Monte Carlo approachesβ103Updated last year
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024β110Updated 7 months ago
- code for "Riemannian Flow Matching on General Geometries".β239Updated last year
- β121Updated 7 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".β38Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.β54Updated 2 months ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jaxβ33Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"β170Updated 3 years ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)β62Updated 4 months ago
- Geometric kernels on manifolds, meshes and graphsβ261Updated last month