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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ml-indie-tools-0.0.2.tar.gz
(18.3 kB
view hashes)
Built Distribution
Close
Hashes for ml_indie_tools-0.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6683e3d74bb1dcc4bbcbd620103999e1c11f21e16bc97365ab4b16c7c483abf7 |
|
MD5 | 359f1e469ecb2b6058543a3fab508a3a |
|
BLAKE2b-256 | 6e47ceaf6a8c4e02c0bb6d9d04e978e425be3fce85d2308ad454d95a07f0759a |