Bluebrain Python Optimisation Library (bluepyopt)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for wvangeit from gravatar.com wvangeit

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Tags optimisation, neuroscience, BlueBrainProject
Classifiers

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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for wvangeit from gravatar.com wvangeit

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Tags optimisation, neuroscience, BlueBrainProject
Classifiers

Release history Release notifications | RSS feed

1.14.17

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

1.13.215

1.13.211

1.13.208

1.13.205

1.13.203

1.13.201

1.13.199

1.13.196

1.13.189

1.13.184

1.13.182

1.13.178

1.13.175

1.13.171

1.13.168

1.13.163

1.13.161

This version

1.13.107

1.13.102

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

1.12.19

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

1.10.21

1.10.14

1.10.12

1.10.9

1.9.153

1.9.151

1.9.149

1.9.147

1.9.146

1.9.145

1.9.141

1.9.137

1.9.133

1.9.128

1.9.126

1.9.124

1.9.117

1.9.115

1.9.112

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

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

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bluepyopt-1.13.107.tar.gz (20.7 MB view details)

Uploaded Source

Built Distribution

bluepyopt-1.13.107-py3-none-any.whl (186.9 kB view details)

Uploaded Python 3

File details

Details for the file bluepyopt-1.13.107.tar.gz.

File metadata

  • Download URL: bluepyopt-1.13.107.tar.gz
  • Upload date:
  • Size: 20.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for bluepyopt-1.13.107.tar.gz
Algorithm Hash digest
SHA256 e80e39bc72a7354655b2cccd76bed43c8da3bc3fe9d01eedcaeb3d7419a20af5
MD5 0f6884d7ebb4c36e7d6b7e50c4684faa
BLAKE2b-256 0b92c2fce8dae2c0aa5985d29038700920d432d145cc0bb3a0dbc6a4762c3a67

See more details on using hashes here.

Provenance

File details

Details for the file bluepyopt-1.13.107-py3-none-any.whl.

File metadata

  • Download URL: bluepyopt-1.13.107-py3-none-any.whl
  • Upload date:
  • Size: 186.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for bluepyopt-1.13.107-py3-none-any.whl
Algorithm Hash digest
SHA256 7ea845c9e87323af2b2b7221bc9edef8a12be716e71945227ebf2f1453fe7349
MD5 7d23a7e6dce133bfb2c464b4e61e2c7d
BLAKE2b-256 4bc86c204a969dde8a450944203857431326bd9e04ca15ed56ac8ce1b485a386

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page