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Some nice ML overhaul

Project description

k1lib

PyTorch is awesome, and it provides a very effective way to execute ML code fast. What it lacks is surrounding infrastructure to make general debugging and discovery process better. Other more official wrapper frameworks sort of don't make sense to me, so this is an attempt at recreating a robust suite of tools that makes sense.

Also, there's the package k1lib.cli which contains nice cli tools originally intended to replace the bash/awk/perl bioinformatics workflow. What does this have to do with PyTorch and DL? Originally nothing, but over time stuff like batched and stagger appeared which has largely replaced PyTorch data loaders.

Installation

Just do this:

pip install k1lib[extras]

If you can't install the optional extra dependencies for some reason then do this:

pip install k1lib

Then in a notebook, do this:

from k1lib.imports import *

Some details

Read over some tutorials in the docs to get a feel of how things work.

Contacts?

If you found bugs, open a new issue on the repo itself. If you want to have a chat, then email me at 157239q@gmail.com

If you want to get an overview of how the repo is structured, read contributing.md

Project details


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This version

0.17

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