machinelearningnuremberg/DeepPipe
[KDD 2023] Deep Pipeline Embeddings for AutoML
This project helps machine learning engineers efficiently find the best machine learning pipeline for their tabular data. You input your dataset (like a pandas DataFrame), and it automatically searches for and outputs an optimized pipeline that provides the best predictive accuracy for your specific task. It's designed for data scientists and ML practitioners who build predictive models.
No commits in the last 6 months.
Use this if you want to quickly discover a high-performing machine learning model and its configuration for your tabular data without extensive manual experimentation.
Not ideal if you need fine-grained control over every aspect of your model architecture or are working with non-tabular data types like images or text.
Stars
17
Forks
3
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jul 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/machinelearningnuremberg/DeepPipe"
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...
alteryx/evalml
EvalML is an AutoML library written in python.