neural-ode
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Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
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Sep 21, 2025 - HTML
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
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May 2, 2024 - Jupyter Notebook
Closed-form Continuous-time Neural Networks
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Jul 5, 2024 - Python
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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Oct 5, 2025 - Julia
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
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Feb 27, 2024 - Jupyter Notebook
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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Aug 12, 2025 - CSS
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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Oct 1, 2025 - Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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Sep 17, 2025 - Julia
Arrays with arbitrarily nested named components.
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Aug 25, 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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Oct 7, 2025 - MATLAB
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
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Sep 17, 2025 - Julia
18.S096 - Applications of Scientific Machine Learning
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Apr 26, 2022 - HTML
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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Aug 11, 2025 - Julia
Code for the paper "Learning Differential Equations that are Easy to Solve"
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Nov 25, 2021 - Python
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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Jun 15, 2023 - Julia
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
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Dec 5, 2022 - Julia
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
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Aug 26, 2020 - Python
Neural Graph Differential Equations (Neural GDEs)
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Apr 15, 2021 - Jupyter Notebook
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
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Feb 11, 2022 - Python
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