orobix/quadra
Quadra: Effortless and reproducible deep learning workflows with configuration files.
This tool helps deep learning researchers and developers streamline their experiments. You provide dataset details and model architecture choices in simple configuration files, and it handles the training, evaluation, and logging. It's designed for individuals or teams who regularly train and compare various deep learning models, making the process faster and more repeatable.
Available on PyPI.
Use this if you need to quickly set up, run, compare, and reproduce multiple deep learning experiments for tasks like image classification, segmentation, self-supervised learning, or anomaly detection.
Not ideal if you prefer to write all your deep learning model training and infrastructure code manually from scratch or need extremely fine-grained, non-standard control over every line of your training loop.
Stars
50
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 23, 2026
Commits (30d)
0
Dependencies
35
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/orobix/quadra"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
finos/jupyterlab_templates
Support for jupyter notebook templates in jupyterlab
kyegomez/Python-Package-Template
A easy, reliable, fluid template for python packages complete with docs, testing suites,...
xtreamsrl/jupytemplate
Templates for jupyter notebooks
mit-ll-responsible-ai/hydra-zen
Create powerful Hydra applications without the yaml files and boilerplate code.
ZhiyuanChen/CHANfiG
Easier Configuration