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1.
▲
Gradient Free Optimizers: A collection of modern optimization methods in Python
github.com/SimonBlanke
75 comments
5 years ago
EntICOnc
239 points
2.
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New release of Gradient-Free-Optimizers with two new evolutionary algorithms
github.com/SimonBlanke
9 comments
2 years ago
528491
32 points
3.
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Hyperactive – Easy Neural Architecture Search for Deep Learning in Python
github.com/SimonBlanke
6 comments
5 years ago
simonblanke
13 points
4.
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Show HN: Hyperactive – A highly versatile AutoML Toolbox
github.com/SimonBlanke
discuss
5 years ago
alex_trtm
7 points
5.
▲
Optimize any Python function with modern algorithms in numerical search spaces
github.com/SimonBlanke
discuss
5 years ago
simonblanke
6 points
6.
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Hyperactive: Optimize computationally expensive models with powerful algorithms
github.com/SimonBlanke
discuss
5 years ago
simon528491
4 points
7.
▲
Gradient-Free-Optimizers version 1.2 released
github.com/SimonBlanke
1 comment
4 years ago
528491
2 points
8.
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Show HN: Gradient-Free-Optimizers supports constrained optimization in v1.3
github.com/SimonBlanke
discuss
3 years ago
528491
2 points
9.
▲
Hyperactive Version 4.5 Released
github.com/SimonBlanke
1 comment
3 years ago
528491
1 points
10.
▲
Hyperactive Version 4.3 Released
github.com/SimonBlanke
discuss
4 years ago
528491
1 points
11.
▲
Gradient-Free-Optimizers: A collection of modern optimization methods in Python
github.com/SimonBlanke
discuss
5 years ago
simonb42
1 points