ml-indie-tools 0.0.3

A collection of tools for low-resource indie machine learning development

ml_indie_tools, a collection of machine learning tools for low-resource research and experiements

Note: THIS LIBRARY IS UNFINISHED WORK-IN-PROGRESS

Description

env_tools

A collection of tools that allow moving machine learning projects between local hardware and colab instances.

Examples

from ml_indie_tools.env_tools import MLEnv

ml_env = MLEnv(platform='tf', accelator='fastest')
desc = ml_env.describe()
desc_dict = ml_env.describe(return_dict=True)

print(desc)

print(desc_dict)

Gutenberg_Dataset

ALU_Dataset

History

• (2021-12-26, 0.0.x) First pre-alpha versions published for testing purposes, not ready for use.