Dual-numbers-and-automatic-differentiation-using-Python
Implemented the forward mode of automatic differentiation with the help of dual numbers using Python. (by ujjwalkhandelwal)
Dual-numbers-and-automat
By ujjwalkhandelwal
| Dual-numbers-and-automatic-differentiation-using-Python | Dual-numbers-and-automat | |
|---|---|---|
| 2 | 1 | |
| 17 | - | |
| - | - | |
| 10.0 | - | |
| over 1 year ago | - | |
| Jupyter Notebook | ||
| MIT License | - |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Dual-numbers-and-automatic-differentiation-using-Python
Posts with mentions or reviews of Dual-numbers-and-automatic-differentiation-using-Python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-20.
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This sub over the last 24 hours
My gender is best described in dual numbers: you ask me once, it gets real; you ask me twice, I have no genders
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Differentiable Programming from Scratch
The estimate for the derivative is 0 here, which is wrong. The finite differencing cannot be improved using stencil theory. Dual numbers win.
[1] - https://github.com/ujjwalkhandelwal/Dual-numbers-and-automat...
Dual-numbers-and-automat
Posts with mentions or reviews of Dual-numbers-and-automat.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-01.
-
Differentiable Programming from Scratch
The estimate for the derivative is 0 here, which is wrong. The finite differencing cannot be improved using stencil theory. Dual numbers win.
[1] - https://github.com/ujjwalkhandelwal/Dual-numbers-and-automat...
What are some alternatives?
When comparing Dual-numbers-and-automatic-differentiation-using-Python and Dual-numbers-and-automat you can also consider the following projects:
AeroSandbox - Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.