https://github.com/Okerew/okrolearn

A machine learning library created in python by Okerew
https://github.com/Okerew/okrolearn

ai analytics arrays computer-science computer-vision machine-learning machine-learning-python neural neural-network numpy okerew okrolearn python pytorch scikit-learn tensorflow tensors

Last synced: about 1 month ago
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A machine learning library created in python by Okerew

• Host: GitHub
• URL: https://github.com/Okerew/okrolearn
• Owner: Okerew
• License: mit
• Created: 2024-06-29T14:37:38.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-30T19:30:08.000Z (over 1 year ago)
• Last Synced: 2025-04-08T06:29:24.742Z (9 months ago)
• Topics: ai, analytics, arrays, computer-science, computer-vision, machine-learning, machine-learning-python, neural, neural-network, numpy, okerew, okrolearn, python, pytorch, scikit-learn, tensorflow, tensors
• Language: Python
• Homepage: https://pypi.org/project/okrolearn/
• Size: 513 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

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README

          
# Okrolearn

![Okrolearn Logo](https://github.com/Okerew/okrolearn/assets/93822247/2c3e95ea-394d-4e29-8b97-13281ee695b7)

Okrolearn is a machine learning library created by Okerew.

## Installation

To install Okrolearn for cpu, use:

`pip install okrolearn==0.2.7`




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:

```python

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