DIgging
Decision Intelligence for digging best parameters in target environment. (by opendilab)
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. (by SimonBlanke)
DIgging | Gradient-Free-Optimizers | |
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1 | 11 | |
81 | 1,114 | |
- | - | |
10.0 | 5.0 | |
over 1 year ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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.
DIgging
Posts with mentions or reviews of DIgging.
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Gradient-Free-Optimizers
Posts with mentions or reviews of Gradient-Free-Optimizers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-28.
- Show HN: Gradient-Free-Optimizers supports constrained optimization in v1.3
- Gradient-Free-Optimizers version 1.2 released
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
I would be very disappointed if that were the case.. no, it looks like it’s set up to capture variance. The BO algo wraps an “Expected Improvement Optimizer”:
https://github.com/SimonBlanke/Gradient-Free-Optimizers/blob...
Which selects new points based on both the model’s mean estimate and its variance. See around line 58
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Hacker News top posts: Feb 28, 2021
Gradient-Free-Optimizers A collection of modern optimization methods in Python\ (0 comments)
- SimonBlanke/Gradient-Free-Optimizers A collection of modern optimization methods in Python
- Gradient-Free-Optimizers: A collection of modern optimization methods in Python
- Optimize any Python function with modern algorithms in numerical search spaces