okrolearn Code
A machine-learning library which is a blend of pytorch and scikit
Brought to you by:
okerew
File | Date | Author | Commit |
---|---|---|---|
.github | 2024-07-08 | Okerew | [e3ac67] Update CODE_OF_CONDUCT.md |
src | 2024-08-03 | Okerew | [beba6d] Update __about__.py |
tests | 2024-08-03 | Okerew | [0c2956] Add files via upload |
LICENSE | 2024-06-29 | Okerew | [6141a9] Add files via upload |
README.md | 2024-08-03 | Okerew | [9784ff] Update README.md |
TODO.md | 2024-07-08 | Okerew | [ada59e] Update TODO.md |
pyproject.toml | 2024-07-22 | Okerew | [b0657c] Update pyproject.toml |
requirements.txt | 2024-07-08 | Okerew | [d1867b] Update requirements.txt |
Okrolearn is a machine learning library created by Okerew.
To install Okrolearn for cpu, use:
pip install okrolearn==0.2.5
To install for gpu do
pip install okrolearn
This requires cuda
To use Okrolearn in your code, import the main module:
from okrolearn import okrolearn
okrolearn.Tensor() # Example usage
To integrate Okrolearn into your project directory, install the requirements and import it:
from okrolearn.src.okrolearn import *
You can also download the okrolearn.py file and import it:
from okrolearn import *
The gpu version will not work as good as cpu version for small data