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.
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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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 |
|---|---|---|
| 1 | AeroSandbox | 1,323 |
| 2 | notebooks | 149 |
| 3 | Zygote-Mutating-Arrays-WorkAround.jl | 30 |
| 4 | Dual-numbers-and-automatic-differentiation-using-Python | 21 |
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