Jupyter Notebook automatic-differentiation

Open-source Jupyter Notebook projects categorized as automatic-differentiation

Top 4 Jupyter Notebook automatic-differentiation Projects

  • AeroSandbox

    Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

  • notebooks

    Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. (by differential-machine-learning)

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Zygote-Mutating-Arrays-WorkAround.jl

    A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.

  • Dual-numbers-and-automatic-differentiation-using-Python

    Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).


What are some of the best open-source automatic-differentiation projects in Jupyter Notebook? This list will help you:

Project Stars
1 AeroSandbox 651
2 notebooks 132
3 Zygote-Mutating-Arrays-WorkAround.jl 29
4 Dual-numbers-and-automatic-differentiation-using-Python 16

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