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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View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

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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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Avatar for wvangeit from gravatar.com wvangeit

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Release history Release notifications

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

1.8.20

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

1.1.178

1.1.177

1.1.173

1.1.172

1.1.171

1.1.169

1.1.167

1.1.163

1.1.151

1.1.150

1.1.149

1.1.148

1.1.146

1.1.144

1.1.142

1.1.140

1.1.138

1.1.136

1.1.134

1.1.132

1.1.130

1.1.128

1.1.127

1.1.126

1.1.125

1.1.123

1.1.122

1.1.119

1.1.117

1.1.114

1.1.111

1.1.107

1.1.105

1.1.100

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

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