MilesCranmer / sympy2jaxLinks
Turning SymPy expressions into JAX functions
☆45Updated 4 years ago
Alternatives and similar repositories for sympy2jax
Users that are interested in sympy2jax are comparing it to the libraries listed below
Sorting:
- Exponential families for JAX☆71Updated this week
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 5 months ago
- Stencil computations in JAX☆71Updated last year
- Tools for JAX☆47Updated last week
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆41Updated last week
- A dead simple Python package for creating custom JAX pytree objects☆63Updated 7 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 2 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- A small library of paramaterizations and parameter constraints for PyTrees.☆34Updated last month
- Multiple dispatch over abstract array types in JAX.☆125Updated last week
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 2 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 11 months ago
- Matrix-free linear algebra in JAX.☆125Updated last month
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 9 months ago
- Dive into Jax, Flax, XLA and C++☆31Updated 5 years ago
- Website for the book "The Elements of Differentiable Programming".☆13Updated 9 months ago
- Pytrees + dataclasses ❤️☆63Updated 2 months ago
- ☆80Updated 3 years ago
- Riemannian Optimization Using JAX☆49Updated last year
- Use numba-compiled kernels from within Jax☆29Updated last month
- Jax SSM Library☆49Updated 2 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated last month
- Code for paper https://arxiv.org/abs/2306.07961☆53Updated last year
- ☆28Updated 3 years ago