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

0.6.4

0.6.3

This version

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-0.6.2-cp37-cp37m-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

guildai-0.6.2-cp37-cp37m-manylinux1_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.7m

guildai-0.6.2-cp37-cp37m-macosx_10_14_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

guildai-0.6.2-cp36-cp36m-win_amd64.whl (6.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

guildai-0.6.2-cp36-cp36m-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.6m

guildai-0.6.2-cp36-cp36m-macosx_10_13_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

guildai-0.6.2-cp35-cp35m-win_amd64.whl (6.4 MB view details)

Uploaded CPython 3.5m Windows x86-64

guildai-0.6.2-cp35-cp35m-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 3.5m

guildai-0.6.2-cp27-cp27mu-manylinux1_x86_64.whl (6.4 MB view details)

Uploaded CPython 2.7mu

guildai-0.6.2-cp27-cp27m-macosx_10_14_x86_64.whl (6.3 MB view details)

Uploaded CPython 2.7m macOS 10.14+ x86-64

File details

Details for the file guildai-0.6.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for guildai-0.6.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f6ac232868018a7b3726a4893dfbb9c9ee6843110e5c8df5144c96c9e43fceeb
MD5 db5cd83a44d4ed5ce74cedb1488b4ac9
BLAKE2b-256 9040c2d4470ba0a6804f3a9dbed0b3aaea25f3e13f91b181feb6803b69a07d07

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for guildai-0.6.2-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ab83cc4370e0c632c6cff2eaf2c8a8382a72a7745bcab5999b30c7c49bc53900
MD5 0e7bf21d0867ab6978abd235604c7a73
BLAKE2b-256 ecc687fe64f4f19ffd4db6c5611e765952829631a40d1138f551f795b63b5932

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for guildai-0.6.2-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 4b44e7c821ee1ed2c3a8348563ed28f6c71072f20a1aeca0b2078f766d3ded7d
MD5 0ba205cb11a3c147309bed9c1a739100
BLAKE2b-256 f9333c431d8beb9bef0ae3f7098f040e93be71aff3021d5f457b22e55f6c656d

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for guildai-0.6.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1bc9fa6b8d14502a9d4e0bcfd0e939013e2910c83f506b835b4bf6aa896e1aa2
MD5 92882b3ceb02e20d87f23ea306718da0
BLAKE2b-256 7710e3bbf11f168cfdf2321f4dff2f2e42f422008e03efa4925994499f11ae60

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8

File hashes

Hashes for guildai-0.6.2-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ba2bc0063b5ef6ecfb7e657602a58cc65b9308462ed3b16341c21a1fc28c2e80
MD5 2a03ed012e9b0a2f1664b0e6a6b6bb7e
BLAKE2b-256 b08936bfecae48002746705ea5a79f4fba8ec5897e30d730729609dd1a27ae94

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 6.3 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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5

File hashes

Hashes for guildai-0.6.2-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 0c85245992306bad66bea298a891b7b4855dce50d274c666d4181e35a56abbd0
MD5 448a788ffe19d182832df819e1b66b43
BLAKE2b-256 0e7773eb7044e5c8a625194a2c61d16843bc3f54e802fbe377c6ceb437324929

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.4

File hashes

Hashes for guildai-0.6.2-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 0c94c76cb5dbd659b847194b39ca202e80649bfcb677524a318af3b918b13556
MD5 65b8ed3cef2a0f1f470d5e9935498022
BLAKE2b-256 89468cd93ca1bcb256c7963405bee7bd01ca34b29bf1957a4812f8b82cee0148

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.7

File hashes

Hashes for guildai-0.6.2-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a65dc42a18c7a78a33270f302a3a4b977b8b8a74f72ff469309b52443b74d74e
MD5 ffb949e3385a92e5eb709b0dff4a59e0
BLAKE2b-256 2c17098461940e44e57dce5b29d67dbfc283e29d43f0bf0de613c7a90587f58b

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for guildai-0.6.2-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7817c467c871a617f0968d7c1650802821fbbd3b059060deaad67ede1a58db0b
MD5 bc22d09e403442b6586b3e8a126f4f2d
BLAKE2b-256 d8dc25928eb19a2e63de3529216fb487529143ccb0e4796afba3e9602a6a4124

See more details on using hashes here.

File details

Details for the file guildai-0.6.2-cp27-cp27m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: guildai-0.6.2-cp27-cp27m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.3 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/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for guildai-0.6.2-cp27-cp27m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 68656932e70a4549c1fe09f4efcdf05574991fadfbdd18f63cec7eacf65f3c99
MD5 fce0914d92cdec1d115b9d44d84c4061
BLAKE2b-256 159b13e5fcd65913176c7bede87131780d04cc6e168a4e5a2d27ccffbeb00e95

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