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