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
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
Project details
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