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#

neural-ode

Here are 91 public repositories matching this topic...

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  • UpdatedMay 2, 2024
  • Jupyter Notebook

Closed-form Continuous-time Neural Networks

  • UpdatedJul 5, 2024
  • Python

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  • UpdatedFeb 27, 2024
  • Jupyter Notebook

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

  • UpdatedOct 1, 2025
  • Julia
ComponentArrays.jl

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

  • UpdatedOct 7, 2025
  • MATLAB

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

  • UpdatedSep 17, 2025
  • Julia

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

  • UpdatedAug 11, 2025
  • Julia
easy-neural-ode

A parallel ODE solver for PyTorch

  • UpdatedOct 3, 2024
  • Python

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

  • UpdatedDec 5, 2022
  • Julia

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

  • UpdatedAug 26, 2020
  • Python

Neural Graph Differential Equations (Neural GDEs)

  • UpdatedApr 15, 2021
  • Jupyter Notebook

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

  • UpdatedFeb 11, 2022
  • Python

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