autokeras

AutoML for deep learning

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

2.0.0

Mar 20, 2024

1.1.0

Jan 28, 2023

1.0.20

Aug 31, 2022

1.0.19

Apr 30, 2022

1.0.18

Feb 18, 2022

1.0.17

Feb 3, 2022

1.0.17rc1 pre-release

Oct 20, 2021

1.0.17rc0 pre-release

Oct 18, 2021

1.0.16.post1

Nov 2, 2021

1.0.16

Aug 16, 2021

1.0.15

Jun 17, 2021

1.0.14

May 31, 2021

1.0.13

May 16, 2021

1.0.12

Nov 30, 2020

1.0.11

Nov 17, 2020

1.0.10

Oct 19, 2020

1.0.9

Sep 27, 2020

1.0.8

Aug 26, 2020

1.0.7

Aug 23, 2020

1.0.6

Aug 19, 2020

1.0.5

Jul 28, 2020

1.0.4

Jul 22, 2020

1.0.3

Jun 23, 2020

1.0.2

Feb 21, 2020

1.0.1

Feb 1, 2020

1.0.0

Jan 16, 2020

1.0.0b0 pre-release

Dec 23, 2019

0.4.0

Apr 26, 2019

0.3.7

Feb 5, 2019

0.3.6

Jan 16, 2019

0.3.5

Dec 3, 2018

0.3.4

Nov 28, 2018

0.3.3

Nov 28, 2018

0.3.2

Nov 28, 2018

0.3.1

Nov 18, 2018

0.3.0

Nov 17, 2018

0.2.19

Nov 6, 2018

0.2.18

Oct 4, 2018

0.2.17

Oct 1, 2018

0.2.15

Sep 25, 2018

0.2.14

Sep 10, 2018

0.2.13

Sep 5, 2018

0.2.12

Sep 3, 2018

0.2.11

Aug 28, 2018

0.2.10

Aug 27, 2018

This version

0.2.9

Aug 27, 2018

0.2.8

Aug 26, 2018

0.2.7

Aug 24, 2018

0.2.6

Aug 23, 2018

0.2.5

Aug 21, 2018

0.2.4

Aug 17, 2018

0.2.3

Aug 13, 2018

0.2.1

Aug 4, 2018

0.2.0

Aug 3, 2018

0.1.1

Jul 6, 2018

0.0.2

Dec 22, 2017

0.0.1

Nov 30, 2017

Download files

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

Source Distribution

autokeras-0.2.9.tar.gz (22.7 kB view details)

Uploaded Aug 27, 2018 Source

File details

Details for the file autokeras-0.2.9.tar.gz.

File metadata

Download URL: autokeras-0.2.9.tar.gz
Upload date: Aug 27, 2018
Size: 22.7 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.6.3

File hashes

Hashes for autokeras-0.2.9.tar.gz
Algorithm	Hash digest
SHA256	`871d3fd7d54d3466f75fe8efc673b23d6c2e7481328688c92eaf7a23b0852cfd`
MD5	`dacd2aa747ed5ea4ebd241e95c3d903a`
BLAKE2b-256	`15c96aafd8b03a2fe2c0d018fb6b37263caa4980e391edb8f1bae05c6bcc785b`