A Machine Learning library for begainers
Project description
Allison
Allison: is a library of Artificial Intelligence
About Allison
This project implements the main machine learning and deep learning architectures in Python, using libraries such as Numpy, Scipy and Matplotlib for the visualizations. its objective is to show how machine learning works inside and not be a black box for many people.
Requirements
- Numpy
- Matplotlib
- Scipy
- Pandas
Install
- clone the repository
git clone https://github.com/Mitchell-Mirano/Allison.git
- install a virtual environment
python -m virtualenv env
- install the requirements
pip install -r requirements.txt
Now you can use Allison
Examples in Allison
- for examples review examples directory
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
allison-0.1.0.tar.gz
(6.4 kB
view details)
Built Distribution
allison-0.1.0-py3-none-any.whl
(10.6 kB
view details)
File details
Details for the file allison-0.1.0.tar.gz
.
File metadata
- Download URL: allison-0.1.0.tar.gz
- Upload date:
- Size: 6.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.7 Linux/5.19.0-31-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b3e4450073ed399eb5bf42bf249f0f45c70e9c33f7f360067d4bd755f8c0dadc |
|
MD5 | d604e2c68340dcf7725b5d0c64164f08 |
|
BLAKE2b-256 | a007c96669940fef91095387ccae2af8fa5378260003f925ecf419b8b0a3191a |
File details
Details for the file allison-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: allison-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.7 Linux/5.19.0-31-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 51961fc16b471f494c952306f6ae37f5fda0f04c6b66aedc73340474c87244f7 |
|
MD5 | ca3b7d39e6960bf715936a1216bb6c7d |
|
BLAKE2b-256 | 0423cb79b1a3f4577067eacce74b9b1d3b37bb8a7312511629324af34bf53702 |