A parallel ODE solver for PyTorch
☆285Mar 30, 2026Updated last month
Alternatives and similar repositories for torchode
Users that are interested in torchode are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,995Updated this week
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,564May 2, 2024Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,410Apr 4, 2025Updated last year
- TorchCFM: a Conditional Flow Matching library☆2,440Apr 20, 2026Updated 2 weeks 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.
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆781Apr 22, 2026Updated last week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,721Dec 30, 2024Updated last year
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 2 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,529Sep 13, 2024Updated last year
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Jun 9, 2022Updated 3 years ago
- This is the reference implementation of our NeurIPS 2023 paper "Add and Thin: Diffusion for Temporal Point Processes"☆22Mar 4, 2024Updated 2 years ago
- Convolutions and more as einsum for PyTorch☆18Jun 6, 2024Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆665Sep 22, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator☆161Feb 20, 2023Updated 3 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,867Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆124Apr 23, 2026Updated last week
- ☆50Oct 28, 2023Updated 2 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆82Apr 19, 2025Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Apr 15, 2026Updated 2 weeks ago
- Brew JSON Web Tokens in pure Nim.☆32Aug 28, 2023Updated 2 years ago
- Experiments for Neural Flows paper☆103Nov 24, 2021Updated 4 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆279Oct 4, 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.
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Turning SymPy expressions into PyTorch modules.☆159Jul 24, 2023Updated 2 years ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆91Feb 14, 2025Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆135Apr 17, 2026Updated 2 weeks ago
- Pytorch implementation of Augmented Neural ODEs☆555Feb 9, 2023Updated 3 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆48Oct 22, 2021Updated 4 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 3 months ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- ☆36Nov 22, 2024Updated last year
- Stiff Neural Ordinary Differential Equations☆36Jun 7, 2023Updated 2 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆482Sep 4, 2025Updated 8 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- A differentiable PDE solving framework for machine learning☆1,867Apr 23, 2026Updated last week