TinyDL

Tiny Deep learning library
DOCUMENTATION
Check the demo.py or the demo notebook!!! (same content)
Have a look at what works so far :)
Only needs numpy and pycuda for the library

Contributions

Do check the todo.md for stuff you can work on :)
Welcome! Add an issue if you have something you want to look at
PRs welcome

Requirements

numpy
matplotlib
pycuda (for GPU)
pandas (if you are using the helpers and need to read a table)

How to run

Install the requirements
Configure parameters in config.py
python demo.py

Why?

Pytorch is too complicated to learn from. (Please. I tried. There are a million folders. My brain >.<)
This does not intend to be Pytorch. Just to understand what goes into it
An attempt at recreating most of the essential components from scratch
Eventual blogs on it as well

Inspired by

Karpathy and his awesomeness xD
micrograd
teddykokker
ft. Every attempt of me trying this in other languages and failing miserably ):

What are the .sh files

I am lazy. So I write code when I have to do the same things again and again.

pusher.sh

Formats all the code using "Black" formatter
Creates documentation from docstrings in the code using pandoc
Fixes the documentation paths for working with Github Pages
Takes the demo.py and pops it into a nice notebook for anyone to run and use
If an argument is given, it git commits with the message and pushes it to the repository

References