memoized_coduals
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers (by wlad-svennik)
uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives. (by lmfit)
memoized_coduals | uncertainties | |
---|---|---|
2 | 1 | |
3 | 543 | |
- | 3.9% | |
2.6 | 6.5 | |
over 2 years ago | 1 day ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
memoized_coduals
Posts with mentions or reviews of memoized_coduals.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Dual/Codual Numbers for Forward/Reverse Automatic Differentiation
I think this implementation and explanation is better: https://github.com/wlad-svennik/memoized_coduals
- Show HN: Efficient autodiff using codual numbers
uncertainties
Posts with mentions or reviews of uncertainties.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-07.
What are some alternatives?
When comparing memoized_coduals and uncertainties you can also consider the following projects:
contextualise - Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources
pint - Laravel Pint is an opinionated PHP code style fixer for minimalists.
SmallPebble - Minimal deep learning library written from scratch in Python, using NumPy/CuPy.