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Code for Tensorflow Machine Learning Cookbook
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May 23, 2024 - Jupyter Notebook
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
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Feb 11, 2025 - Julia
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
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Mar 17, 2025 - Julia
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
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Sep 13, 2024
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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Mar 14, 2025 - Julia
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
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Feb 22, 2025 - Python
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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Apr 29, 2024 - CSS
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
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Mar 16, 2025 - Julia
Convert julia objects to LaTeX equations, arrays or other environments.
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Feb 5, 2025 - Julia
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
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Jan 23, 2025 - Python
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
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Mar 17, 2025 - Julia
Physics-Informed Neural networks for Advanced modeling
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Mar 17, 2025 - Python
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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Feb 14, 2025 - Julia
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.
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Mar 17, 2025 - Julia
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
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Mar 14, 2025 - MATLAB
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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Mar 17, 2025 - Julia
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
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Feb 9, 2024 - Jupyter Notebook
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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Feb 22, 2025 - Julia
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
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Feb 17, 2025 - Julia
Code for the paper "Learning Differential Equations that are Easy to Solve"
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Nov 25, 2021 - Python
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