ParagGhatage/ZeroML
ZeroML is a visual-first, end-to-end machine learning platform that lets you build, train, fine-tune, and deploy models effortlessly. Version datasets, optimize pipelines, and monitor training - all in one place, with hybrid deployment support for Hugging Face and RunPod.
ZeroML helps machine learning engineers and data scientists build, train, and deploy AI models more efficiently. It takes raw data and model configurations as input, allowing you to visually construct machine learning pipelines, automatically clean and version data, and fine-tune models. The output is a production-ready model deployed as an API, along with comprehensive visualizations and versioning for all your ML assets.
Use this if you are an ML engineer or data scientist looking for a visual, drag-and-drop platform to streamline your machine learning development lifecycle, from data preparation to model deployment.
Not ideal if you prefer to write all your machine learning code from scratch or need an on-premise-only solution without cloud integration.
Stars
12
Forks
1
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Jan 19, 2026
Commits (30d)
0
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