Top 4 Jupyter Notebook automatic-differentiation Projects
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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 | 2024-12-07This project might be exactly what you're looking for:
https://github.com/peterdsharpe/AeroSandbox
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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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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)
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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.
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Dual-numbers-and-automatic-differentiation-using-Python
Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.
Jupyter Notebook automatic-differentiation discussion
Index
What are some of the best open-source automatic-differentiation projects in Jupyter Notebook? This list will help you:
# | Project | Stars |
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1 | AeroSandbox | 844 |
2 | notebooks | 141 |
3 | Zygote-Mutating-Arrays-WorkAround.jl | 30 |
4 | Dual-numbers-and-automatic-differentiation-using-Python | 20 |