Toolkit to automate and optimize machine learning model development

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for guildai from gravatar.com guildai Avatar for msarahan from gravatar.com msarahan

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Maintainer: Guild AI
  • Tags guild, guildai, tensorflow, keras, pytorch, mxnet, xgboost, scikit-learn
Classifiers

Project description

Guild AI is an open source toolkit that automates and optimizes machine learning experiments.

  • Run unmodified training scripts, capturing each run result as a unique experiment
  • Automate trials using grid search, random search, and Bayesian optimization
  • Compare and analyze runs to understand and improve models
  • Backup training related operations such as data preparation and test
  • Archive runs to S3 or other remote systems
  • Run operations remotely on cloud accelerators
  • Package and distribute models for easy reproducibility

For more on features, see Guild AI - Features.

Important links:

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for guildai from gravatar.com guildai Avatar for msarahan from gravatar.com msarahan

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Maintainer: Guild AI
  • Tags guild, guildai, tensorflow, keras, pytorch, mxnet, xgboost, scikit-learn
Classifiers

Release history Release notifications | RSS feed

0.9.0

0.9.0rc1 pre-release

0.8.2

0.8.2.dev1 pre-release

0.8.1

0.8.1rc1 pre-release

0.8.0

0.8.0rc2 pre-release

0.8.0rc1 pre-release

0.7.5

0.7.4

0.7.4rc1 pre-release

0.7.3

0.7.2

0.7.1.post1

0.7.1

0.7.0.post1

0.7.0

0.7.0rc1 pre-release yanked

0.6.6

0.6.5

This version

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.2

0.3.1

0.3.0

0.1.2

0.1.0.post2

0.1.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

guildai-0.6.4-cp37-cp37m-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

guildai-0.6.4-cp37-cp37m-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.7m

guildai-0.6.4-cp37-cp37m-macosx_10_14_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

guildai-0.6.4-cp36-cp36m-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

guildai-0.6.4-cp36-cp36m-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.6m

guildai-0.6.4-cp36-cp36m-macosx_10_13_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

guildai-0.6.4-cp35-cp35m-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.5m Windows x86-64

guildai-0.6.4-cp35-cp35m-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.5m

guildai-0.6.4-cp27-cp27mu-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 2.7mu

guildai-0.6.4-cp27-cp27m-macosx_10_14_x86_64.whl (6.4 MB view details)

Uploaded CPython 2.7m macOS 10.14+ x86-64

File details

Details for the file guildai-0.6.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for guildai-0.6.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e7123e786c319262a9c8dc96e691e6ec938efd592f2c8b7f1b31b9f9220900b8
MD5 62f4785355da1fb8f32365161aac1952
BLAKE2b-256 b06c6e8c8f6d8fc993ecd199e4fa386aa1ea910da212298dec9b10db38614757

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for guildai-0.6.4-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6dbf871c22901025cc93116df4882bdd620476a9708b3c81aa97031ca158c592
MD5 1cbfa83831373ff8ca6569722098611a
BLAKE2b-256 9c5096ab2a0d6031587be3b4d7783668915d93a08462db9a702540e78a092a0b

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for guildai-0.6.4-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 18bfc0d5e8814604386616e54ceda9136f8db57b923063fd78ba1cab3d699a23
MD5 5e9e1db42d6565aa1f3ce8e37236b4f1
BLAKE2b-256 598667966380cbf6ad7a01ae052d323cfa387fd67a031ee05cc264b51059876a

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.8

File hashes

Hashes for guildai-0.6.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c4fab80a4de7df68b6d4907af85565d6c3ff300becbde379bfc7e7493d999a42
MD5 64cd576fc32a4ce3644eb5b306b6ae32
BLAKE2b-256 d732628049363f68f37bcb52d815a1e798deaf58c6f0398d3c408f09fa4dad56

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.8

File hashes

Hashes for guildai-0.6.4-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a3d109a551b5c02afdbe586ac22bf0eb1d88aa2e8ea63afe07edae17dc872c57
MD5 b08dab9888c66e406a8c38268c568044
BLAKE2b-256 6bc56153b8589bc24a62bc64a74c0b52f985bc8d8bdb44f3226e60229be9ea2f

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.5

File hashes

Hashes for guildai-0.6.4-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 80ebbd553fad14825338d673903c68a890918764c896d0db0db6b8c683944a7a
MD5 2241373c67f846e30beef132b0081b49
BLAKE2b-256 010f7a4cf52c447371b88b94810013f03a5543f3167c358189c4d0b80d15cade

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.5.4

File hashes

Hashes for guildai-0.6.4-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 07e7d8cf7ac0aa720dd5a7c090a4cdd54321791bc0e5c425ca4d61a8311f85b9
MD5 9c8e68cf3410ef3f10fda55aa470ba87
BLAKE2b-256 2f5e2b228feb110c454faf3a4b1cb1ee7e588f4fb655c4214c8340c5e8f41e70

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.5.7

File hashes

Hashes for guildai-0.6.4-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8bae2afc07635b8cd7ba09a621a5db1761f86c97f8d7fea305906b4342bfd242
MD5 4b99412fd4c5442740c222b1d467b97b
BLAKE2b-256 4779bf893db3fb165af5d8621c629fe4a6f6b7670e7a93129fa004d4ec3e6e81

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp27-cp27mu-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 2.7mu
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.16

File hashes

Hashes for guildai-0.6.4-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0b636bffcfa22b22e34feb8be885a5cc22a719e575c3e206a905c50f711e4202
MD5 3c4a6014b44f8a79c6b993765626b46b
BLAKE2b-256 4de1b7bc642b381fc2e75041c4c49fae9c5b17d545f7a98fbcc5977e2d5bd2dc

See more details on using hashes here.

File details

Details for the file guildai-0.6.4-cp27-cp27m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.4-cp27-cp27m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: CPython 2.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/2.7.16

File hashes

Hashes for guildai-0.6.4-cp27-cp27m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 2b1512f9a54357f048b55ca01bb5c57da8d3910bc45e03c92038910c988c9fec
MD5 df34055b84010587bd567698fbe4f567
BLAKE2b-256 753b1b3e06c967437954f920c88320dd69df75dfc3d598c2e1f1dc2eebc10e49

See more details on using hashes here.

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