Skip to main content

Toolkit to streamline TensorFlow™ and Keras deep learning.

Project description

Guild AI is a task runner and package manager for TensorFlow. Use it to automate training, testing, and deployment of TensorFlow and Keras models.

Highlights:

  • Automatically capture run output as unique experiments

  • Compare model performance at-a-glance

  • Visualize training results with TensorBoard

  • Package and distribute models

  • Train on AWS EC2 and backup to S3

To get started, see Guild AI introduction.

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-0.5.2-cp36-cp36m-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.6m

guildai-0.5.2-cp36-cp36m-macosx_10_12_x86_64.whl (6.1 MB view details)

Uploaded CPython 3.6m macOS 10.12+ x86-64

guildai-0.5.2-cp35-cp35m-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.5m

guildai-0.5.2-cp27-cp27mu-manylinux1_x86_64.whl (6.2 MB view details)

Uploaded CPython 2.7mu

guildai-0.5.2-cp27-cp27m-macosx_10_12_x86_64.whl (6.1 MB view details)

Uploaded CPython 2.7m macOS 10.12+ x86-64

File details

Details for the file guildai-0.5.2-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.5.2-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.7

File hashes

Hashes for guildai-0.5.2-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 90ea301802b417e3f130db0acd410fa76ac97314b7c41b574b0d0f3b13fd0e40
MD5 5a26193f8f4a7a05098620bef5630c2b
BLAKE2b-256 6607541d4c7c54a723969a1ebb211b5e8c5f8cdb76828660b836e7498f05fbfb

See more details on using hashes here.

File details

Details for the file guildai-0.5.2-cp36-cp36m-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: guildai-0.5.2-cp36-cp36m-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.6m, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.5

File hashes

Hashes for guildai-0.5.2-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ba7a1a3693bee1917d722390a2545cbacfc790b73913bad8417a07bc76b5ddd2
MD5 fc11287850b3b7cb917658bc83636988
BLAKE2b-256 590cff4d3c2f25f2256a9ddae3bbeae791fc50978b2f10b279b625ba6b8801d4

See more details on using hashes here.

File details

Details for the file guildai-0.5.2-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.5.2-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.6

File hashes

Hashes for guildai-0.5.2-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a81d46cce808aeb5df0e87714e03c482c050a874a6dcfeb3a4625ff20f614325
MD5 9a859364184776d31b1ba2a9d0e6c6c4
BLAKE2b-256 94b0972649fddfbb9ab2a538cb50dc790ca22af576d1b53827f554a2bfb24260

See more details on using hashes here.

File details

Details for the file guildai-0.5.2-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.5.2-cp27-cp27mu-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 2.7mu
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15

File hashes

Hashes for guildai-0.5.2-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 31d0da9adc5c70a8e4e451d0db20b89b6512abce0121c88b822d4aecf914adf3
MD5 25123c204760c755a320612b81b08e8e
BLAKE2b-256 5aedd2dbd229f29cf98e5bdef3a6b78c47f3cf1bf407ff0b9802c222b35acaf0

See more details on using hashes here.

File details

Details for the file guildai-0.5.2-cp27-cp27m-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: guildai-0.5.2-cp27-cp27m-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 2.7m, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.13

File hashes

Hashes for guildai-0.5.2-cp27-cp27m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 76ce23b3f0eb9a23fd5b076ffb06a3970f835b304a2e12331979947b49a1228a
MD5 d5e6d1c1333eeedc31a4c05116ff3935
BLAKE2b-256 719e5cdfa969a488e15d727c21e6e55e79bd98434e8e9901918039a8a2e19fab

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