Jupyter Notebook automatic-differentiation

Open-source Jupyter Notebook projects categorized as automatic-differentiation

Top 4 Jupyter Notebook automatic-differentiation Projects

automatic-differentiation
  1. AeroSandbox

    Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

    Project mention: MIT largest open-source car design dataset, incl aerodynamics, to speed design | news.ycombinator.com | 2024-12-07

    This project might be exactly what you're looking for:

    https://github.com/peterdsharpe/AeroSandbox

  2. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

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  3. 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)

  4. 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.

  5. 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).

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Index

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

# Project Stars
1 AeroSandbox 844
2 notebooks 141
3 Zygote-Mutating-Arrays-WorkAround.jl 30
4 Dual-numbers-and-automatic-differentiation-using-Python 20

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