patrick-kidger / sympytorchLinks
Turning SymPy expressions into PyTorch modules.
☆152Updated 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☆112Updated 6 months ago
- Riemannian Optimization Using JAX☆52Updated last year
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆273Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆56Updated last month
- 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☆84Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated 11 months ago
- ☆110Updated 4 years ago
- Mathematical operations for JAX pytrees☆200Updated 9 months ago
- Turn SymPy expressions into trainable JAX expressions.☆349Updated 4 months ago
- Matrix-free linear algebra in JAX.☆140Updated 3 weeks ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆282Updated 3 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆101Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Documentation:☆121Updated 2 years ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated last month
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 4 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Differentiable scientific computing library☆154Updated last year
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆30Updated 11 months ago
- A generic interface for linear algebra backends☆73Updated 6 months ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Multiple dispatch over abstract array types in JAX.☆129Updated 3 weeks ago