Added advanced debugging features to my machine learning library like pytorch.

Added debug mode, debugging plot parameters, debugging layer gradients, deploying, fixed submodules of the library for my machine learning library which is supposed to be a raw combination of scikit learn and pytorch.

https://pypi.org/project/okrolearn/

Installation

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
Enter fullscreen mode Exit fullscreen mode

Discover more from Coursity

Subscribe to get the latest posts sent to your email.

Leave a Comment

Your email address will not be published. Required fields are marked *

Discover more from Coursity

Subscribe now to keep reading and get access to the full archive.

Continue reading

Scroll to Top
This includes providing resources and support for anyone looking to optimize their use of our cloud data storage solutions. Cart urban safari pet.