Debugging And Deploying Okrolearn Machine Learning Library
Added debug mode to my machine learning library, Okrolearn. Now includes debugging plot parameters & layer gradients. Install via pip install okrolearn==0.2.5 for CPU or pip install okrolearn with CUDA for GPU support.
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