Bluebrain Python Optimisation Library (bluepyopt)

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  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Tags optimisation , neuroscience , BlueBrainProject
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Project description

The Blue Brain Python Optimisation Library (BluePyOpt) is an extensible framework for data-driven model parameter optimisation that wraps and standardises several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.

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Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for obi.maintainer from gravatar.com obi.maintainer Avatar for wvangeit from gravatar.com wvangeit

Unverified details

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Project links
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  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Tags optimisation , neuroscience , BlueBrainProject
Classifiers

Release history Release notifications | RSS feed

1.14.18

1.14.17

1.14.16

1.14.15

1.14.14

1.14.13

1.14.12

1.14.11

1.14.10

1.14.9

1.14.8

1.14.7

1.14.6

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.222

1.13.220

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1.13.208

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1.13.95

1.13.92

1.13.90

1.13.88

1.13.86

1.13.83

1.13.79

1.13.76

1.13.12

1.13.10

1.13.8

1.13.3

1.12.63

1.12.61

1.12.59

1.12.57

1.12.53

1.12.51

1.12.49

1.12.47

1.12.44

1.12.28

1.12.26

1.12.24

1.12.22

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1.12.12

1.12.7

1.12.3

1.12.1

1.11.47

1.11.15

1.11.7

1.11.5

1.11.3

1.10.38

1.10.36

1.10.33

1.10.30

1.10.27

1.10.24

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1.10.14

1.10.12

1.10.9

1.9.153

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1.9.141

1.9.137

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1.9.124

1.9.117

1.9.115

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1.9.110

1.9.98

1.9.96

1.9.93

1.9.91

1.9.90

1.9.88

1.9.86

1.9.83

1.9.80

1.9.79

1.9.69

1.9.66

1.9.55

1.9.50

1.9.48

1.9.46

1.9.43

1.9.39

1.9.37

1.9.30

1.9.27

1.9.13

1.9.12

1.9.11

1.9.9

This version

1.9.3

1.8.68

1.8.66

1.8.64

1.8.61

1.8.59

1.8.54

1.8.52

1.8.50

1.8.48

1.8.46

1.8.43

1.8.40

1.8.38

1.8.36

1.8.34

1.8.27

1.8.25

1.8.23

1.8.21

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1.8.19

1.8.18

1.8.16

1.8.7

1.8.5

1.8.4

1.8.2

1.7.6

1.7.4

1.7

1.6.75

1.6.62

1.6.56

1.6.51

1.6.45

1.6.42

1.6.27

1.6.25

1.6.22

1.6.20

1.6.11

1.6.8

1.6.6

1.6.4

1.6.2

1.5.37

1.5.35

1.5.33

1.5.31

1.5.29

1.5.26

1.5.22

1.5.20

1.5.17

1.5.14

1.5.12

1.5.10

1.5.8

1.5.7

1.5.5

1.5.3

1.5.1

1.2.159

1.2.157

1.2.154

1.2.152

1.2.151

1.2.149

1.2.147

1.2.145

1.2.142

1.2.139

1.2.137

1.2.132

1.2.128

1.2.118

1.2.116

1.2.113

1.2.111

1.2.109

1.2.107

1.2.105

1.2.104

1.2.103

1.2.89

1.2.87

1.2.85

1.2.83

1.2.80

1.2.79

1.2.78

1.2.77

1.2.76

1.2.75

1.2.74

1.2.73

1.2.72

1.2.71

1.2.70

1.2.69

1.2.68

1.2.67

1.2.66

1.2.65

1.2.64

1.2.63

1.2.62

1.2.61

1.2.60

1.2.59

1.2.58

1.2.57

1.2.55

1.2.53

1.2.51

1.2.48

1.2.42

1.2.41

1.2.40

1.2.39

1.2.38

1.2.37

1.2.36

1.2.35

1.2.34

1.2.33

1.2.32

1.2.31

1.2.30

1.2.29

1.2.28

1.2.26

1.2.25

1.2.24

1.2.23

1.2.20

1.2.18

1.2.16

1.2.14

1.2.12

1.2.8

1.2.6

1.2.1

1.1.180

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1.1.177

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1.1.76

1.1.74

1.1.72

1.1.71

1.1.70

1.1.68

1.1.63

1.1.55

1.1.52

1.1.47

1.1.45

1.1.43

1.1.42

1.1.41

1.1.39

1.1.35

1.1.33

1.1.27

1.1.24

1.1.22

1.1.20

1.1.4

1.1.2

1.0.12

1.0.5

1.0.3

1.0.2

1.0.1

1.0

0.1.230

0.1.98

0.1.97

0.1.96

0.1.91

0.1.84

0.1.82

0.1.80

0.1.78

0.1.76

0.1.75

0.1.73

0.1.72

0.1.69

0.1.64

0.1.62

0.1.60

0.1.58

0.1.56

0.1.54

0.1.48

0.1.45

0.1.43

0.1.40

0.1.38

0.1.36

0.1.35

0.1.34

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.26

0.1.25

0.1.23

0.0.1

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