patrick-kidger / sympytorchLinks
Turning SymPy expressions into PyTorch modules.
☆156Updated 2 years ago
Alternatives and similar repositories for sympytorch
Users that are interested in sympytorch are comparing it to the libraries listed below
Sorting:
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆120Updated last week
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆112Updated 4 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Normalizing Flows using JAX☆85Updated 2 years ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆211Updated 4 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Differentiable scientific computing library☆156Updated last year
- Matrix-free linear algebra in JAX.☆153Updated 3 weeks ago
- A library for programmatically generating equivariant layers through constraint solving☆281Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 5 months ago
- Library for normalizing flows and neural flows.☆26Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- Bayesian inference with Python and Jax.☆34Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last year
- Mathematical operations for JAX pytrees☆205Updated last year
- Large-scale, multi-GPU capable, kernel solver☆194Updated 5 months ago
- Turn SymPy expressions into trainable JAX expressions.☆356Updated 8 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆106Updated 2 years ago
- Geometric kernels on manifolds, meshes and graphs☆282Updated last week
- ☆273Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆100Updated 8 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago