cTJakt/glaucus
A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists
This platform helps non-data science professionals apply machine learning to their data without needing deep technical expertise. You can upload various datasets (structured, documents, images) and then either automatically or manually configure and train machine learning models. The output is a trained model and evaluation results, which you can then use to make predictions on new data.
No commits in the last 6 months.
Use this if you need to leverage machine learning for tasks like classification or prediction but lack specialized data science skills.
Not ideal if you are a professional data scientist looking for full, unconstrained control over every aspect of your machine learning pipeline.
Stars
30
Forks
13
Language
Java
License
—
Category
Last pushed
Jan 11, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cTJakt/glaucus"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
process-intelligence-solutions/pm4py
Official public repository for PM4Py (Process Mining for Python) — an open-source library for...
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which...
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT