Machine learning automation from creating to using models in production
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
Machine learning automation from creating to using models in production launched on June 23, 2021 with 72 votes, #1,029 of 3,650 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
This software automates the machine learning workflow from model development through production deployment. It is designed for data scientists and ML engineers who need to streamline the process of building, training, and deploying machine learning models. The product handles the full lifecycle of ML projects, reducing manual work and making it easier to move models from experimental stages into live production environments.
written from the facts on this page · September 2026
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Igel – A CLI tool to run machine learning without writing code2020 · github.com · ▲405a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
A delightful tool that provides machine learning for everyone2020 · github.com · ▲5a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
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