Machine learning stuff

Project description

WBML

Machine learning stuff

Note: LAB requires Python 3.5+ and TensorFlow 2 if TensorFlow is used.

Installation

Before installing the package, please ensure that gcc and gfortran are available. On OS X, these are both installed with brew install gcc; users of Anaconda may want to instead consider conda install gcc. On Linux, gcc is most likely already available, and gfortran can be installed with apt-get install gfortran. Then simply

pip install wbml

Project details

Release history Release notifications | RSS feed

0.4.1

Mar 6, 2023

0.3.21

Dec 8, 2022

0.3.20

Sep 14, 2022

0.3.19

Sep 9, 2022

0.3.18

Apr 28, 2022

0.3.17

Apr 24, 2022

0.3.16

Apr 7, 2022

0.3.15

Apr 7, 2022

0.3.14

Oct 10, 2021

0.3.13

Oct 10, 2021

0.3.12

Oct 10, 2021

0.3.11

Oct 9, 2021

0.3.10

Oct 9, 2021

0.3.9

Sep 23, 2021

0.3.8

Sep 23, 2021

0.3.7

Sep 23, 2021

0.3.6

Sep 23, 2021

0.3.5

Sep 13, 2021

0.3.4

Jun 22, 2021

0.3.3

May 17, 2021

0.3.2

Apr 22, 2021

0.3.1

Apr 22, 2021

0.3.0

Apr 22, 2021

0.2.0

Dec 1, 2020

0.1.3

Dec 19, 2019

0.1.2

Nov 6, 2019

0.1.1

Nov 4, 2019

This version

0.1.0

Oct 29, 2019

Download files

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

Source Distribution

wbml-0.1.0.tar.gz (21.4 kB view details)

Uploaded Oct 29, 2019 Source

File details

Details for the file wbml-0.1.0.tar.gz.

File metadata

Download URL: wbml-0.1.0.tar.gz
Upload date: Oct 29, 2019
Size: 21.4 kB
Tags: Source
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/4.32.1 CPython/3.6.5

File hashes

Hashes for wbml-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`9fea23e77ff57561d1a9c723474b89f210c617f77eb0a21f4a157dae3bcce753`
MD5	`2943959755734ffe285e3b99e6eeac54`
BLAKE2b-256	`e27d50f46735df3cc8d063026e6f4be48c084fe5b9e03b83142986c97be23c5f`