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