Visualblocks
Drag and drop off-the-shelf ML components with Visual Blocks. A fast, easy way to prototype ML pipelines – no expertise or coding required.
About
Visual Blocks is a framework that allows any platform or application to easily integrate a visual and user-friendly interface for ML creation. Visual Blocks aims to help applications & platforms accelerate many stages of the ML product cycles including pipeline authoring, model evaluation, data pipelining, model & pipeline experimentation, and more. Visual Blocks enables these behaviors through a JavaScript front-end library for low/no code editing and a separate JS library embedding the newly created experience.
Open Source Health
- Stars
- 1,364
- Forks
- 176
- License
- Apache-2.0
- Last commit
- 3 months ago
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