Visual Blocks

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 cycle 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.

Components

Node Graph Editor

The node graph editor is a custom Angular component. It takes a graph json file as input.

Library of ML Nodes

ML Nodes include Models, I/O (camera, image, mic, etc), and Visualizations.

Runtime

The runner takes a graph json file and a list of nodes. It traverses the graph to decide execution order. For each node execution, it loads the Angular component and uses the run function to run it.

Visual Blocks in Google Colaboratory

There is a Visual Blocks Python package for use within Google Colaboratory notebooks.

For Users

!pip install visual_blocks and import visual_blocks in your Colaboratory notebooks. See the example notebooks in the directory examples/.

For Developers

!pip install git+https://... in a notebook installs the package straight from the latest, unreleased source in Github. The notebooks in the tests/ directory use this method.

The directory scripts/ contains turnkey scripts for common developer tasks such as building and uploading the Python distribution package.

Build and upload package to TestPyPI

One time setup:

# Install `build`.
$ python3 -m pip install --upgrade build

# Install `twine`, and make sure its binary is in your PATH.
$ python3 -m pip install twine

Steps:

1. Update the version number in pyproject.toml.
2. Run rm -rf build to clean up previous builds.
3. Run scripts/package to build the package.
4. Run scripts/upload to upload the package. You need to have the username and password ready.

Contributions

We are not accepting contributions at this time. The Visual Blocks team will contribute to this library.

Copyright and license

Copyright under the Apache 2.0 license.