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Top 15 Python automated-machine-learning Projects
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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
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archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
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autoalbument
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
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Project mention: Featuretools – A Python Library for Automated Feature Engineering | news.ycombinator.com | 2023-09-20
Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
Project mention: Show HN: SapientML – Generative AutoML for Tabular Data | news.ycombinator.com | 2023-09-28
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python automated-machine-learning related posts
- Featuretools – A Python Library for Automated Feature Engineering
- Show HN: Web App with GUI for AutoML on Tabular Data
- Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
- Machine Learning Algorithms Cheat Sheet
- Ask HN: Which piece of tech is underutilized?
- Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI
- [N] Fast AutoML with Microsoft's FLAML + Ray Tune
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A note from our sponsor - SaaSHub
www.saashub.com | 25 Apr 2024
Index
What are some of the best open-source automated-machine-learning projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | nni | 13,726 |
| 2 | autokeras | 9,066 |
| 3 | auto-sklearn | 7,403 |
| 4 | autogluon | 7,091 |
| 5 | featuretools | 7,017 |
| 6 | mljar-supervised | 2,929 |
| 7 | AutoViz | 1,621 |
| 8 | MLBox | 1,475 |
| 9 | SMAC3 | 1,003 |
| 10 | FEDOT | 603 |
| 11 | Auto_ViML | 490 |
| 12 | Hyperactive | 487 |
| 13 | archai | 453 |
| 14 | sapientml | 424 |
| 15 | autoalbument | 195 |
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