This is the Linux app named Visual Blocks whose latest release can be downloaded as visualblockssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Visual Blocks with OnWorks for free.
Urmați aceste instrucțiuni pentru a rula această aplicație:
- 1. Ați descărcat această aplicație pe computer.
- 2. Introduceți în managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator pe care îl doriți.
- 3. Încărcați această aplicație într-un astfel de manager de fișiere.
- 4. Porniți emulatorul online OnWorks Linux sau Windows online sau emulatorul online MACOS de pe acest site web.
- 5. Din sistemul de operare OnWorks Linux pe care tocmai l-ați pornit, accesați managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator dorit.
- 6. Descărcați aplicația, instalați-o și rulați-o.
SCREENSHOTS
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Blocuri vizuale
DESCRIERE
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. For educators and product teams alike, Visual Blocks reduces the distance from idea to interactive proof-of-concept by turning ML diagrams.
Categorii
- Drag-and-drop node graphs for data and ML pipelines
- Live execution in the browser with immediate visual feedback
- Reusable composite blocks to share preprocessing and model steps
- Support for common web ML runtimes and media sources
- Easy import/export for collaboration and teaching
- Visual debugging with inspectors, charts, and intermediate previews
Limbaj de programare
manuscris dactilografiat
Categorii
This is an application that can also be fetched from https://sourceforge.net/projects/visual-blocks.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
