Metadata-Version: 2.1
Name: enp
Version: 0.0.4
Summary: Implementation of methods of ML and algorithms and data structures to fully understand them
Home-page: https://github.com/shlyapin/enp
Author: Alexander Shlyapin
Author-email: al.shlyapin@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/shlyapin/enp/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# enp

enp (stands for Everything in NumPy) provides implementation of deep learning, machine learning, and math algorithms in
NumPy or pure Python.

## Installation

You can install the library using pip:

    pip install enp

## Description

The library consists of 3 main parts:

- deep learning (examples of usage can be found in examples/nn folder)
- machine learning (examples of usage are in examples/ml folder)
- linear algebra (examples of usage are in tests/test_linear_algebra.py)




