okrolearn Code
A machine-learning library which is a blend of pytorch and scikit
Brought to you by:
okerew
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| File | Date | Author | Commit |
|---|---|---|---|
| .github | 2024-07-08 |
Okerew
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[e3ac67] Update CODE_OF_CONDUCT.md |
| src | 2024-08-03 |
Okerew
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[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 |
Read Me
Okrolearn
Okrolearn is a machine learning library created by Okerew.
Installation
To install Okrolearn for cpu, use:
pip install okrolearn==0.2.5
To install for gpu do
pip install okrolearn
This requires cuda
Note venv is recommended
Usage
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 *
Notes
The gpu version will not work as good as cpu version for small data
