Turning SymPy expressions into PyTorch modules.
☆159Jul 24, 2023Updated 2 years ago
Alternatives and similar repositories for sympytorch
Users that are interested in sympytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Initial Commit☆19Dec 1, 2020Updated 5 years ago
- Turning SymPy expressions into JAX functions☆45Mar 17, 2021Updated 5 years ago
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- Jax-based quantum state vector simulator.☆25Jun 28, 2025Updated 11 months ago
- Turn SymPy expressions into trainable JAX expressions.☆369Apr 20, 2026Updated last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,570May 2, 2024Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆43Oct 26, 2020Updated 5 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- ☆10Jun 13, 2022Updated 3 years ago
- ☆634May 13, 2026Updated 2 weeks ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Apr 14, 2023Updated 3 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,723Dec 30, 2024Updated last year
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,012May 13, 2026Updated 2 weeks ago
- lecture materials of the ML for Physics course 2021 in Perimeter Institute☆21Mar 31, 2021Updated 5 years ago
- Probabilistic Numerics in Python.☆460Jul 3, 2025Updated 10 months ago
- PyTorch/PyG implementation of M3GNet☆11Sep 11, 2023Updated 2 years ago
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆708Oct 22, 2022Updated 3 years ago
- Rotation-Based Iterative Gaussianization algorithm.☆17Mar 18, 2023Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization☆16Apr 27, 2020Updated 6 years ago
- Manage a Julia project living within a Python package☆18Mar 8, 2024Updated 2 years ago
- A dead simple Python package for creating custom JAX pytree objects☆66Nov 14, 2024Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆172Feb 11, 2022Updated 4 years ago
- A fully differentiable implementation of SHA256☆11Nov 12, 2021Updated 4 years ago
- ☆22Dec 3, 2021Updated 4 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,891May 22, 2026Updated last week
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆482Sep 4, 2025Updated 8 months ago
- Documentation:☆131May 22, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- ☆214Jan 31, 2022Updated 4 years ago
- Python-based Blender module for scientific visualization☆12Oct 2, 2018Updated 7 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- Geometric Semantic Genetic Programming☆15Oct 6, 2014Updated 11 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆124May 11, 2021Updated 5 years ago