ayrna/dlordinal
Open-source Python toolkit focused on deep learning with ordinal methodologies
This tool helps machine learning engineers and researchers build more accurate deep learning models for problems where categories have a meaningful order, like age groups or star ratings. It takes your existing image or numerical data with ordered categories and produces a trained model that understands this order, along with evaluation metrics specific to ordinal tasks. Data scientists working on ranking, rating, or scoring systems will find this useful.
Available on PyPI.
Use this if you are developing deep learning models for classification tasks where the output categories have a clear, inherent order (e.g., 'small', 'medium', 'large' or '1st', '2nd', '3rd' place).
Not ideal if your classification categories have no inherent order, such as classifying types of animals or colors, as the tool's specialized methods won't provide an advantage.
Stars
68
Forks
4
Language
Python
License
BSD-3-Clause
Category
Last pushed
Dec 19, 2025
Commits (30d)
0
Dependencies
10
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ayrna/dlordinal"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pykt-team/pykt-toolkit
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
google-research/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
IDEALLab/EngiBench
Benchmarks for automated engineering design
AI-team-UoA/pyJedAI
An open-source library that leverages Python’s data science ecosystem to build powerful...