Interactive_Tools  by Machine-Learning-Tokyo

Collection of interactive ML/DL tools and visualizations

created 6 years ago
2,767 stars

Top 17.6% on sourcepulse

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Project Summary

This repository curates interactive web-based tools for visualizing and understanding machine learning, deep learning, and mathematical concepts. It targets researchers, students, and practitioners seeking intuitive ways to explore model behavior, interpret complex algorithms, and grasp statistical principles. The primary benefit is demystifying intricate AI and math topics through hands-on, visual experimentation.

How It Works

The collection leverages web technologies (HTML, JavaScript, often with libraries like TensorFlow.js or D3.js) to run models or simulations directly in the browser. This approach allows for immediate feedback and interactive manipulation of parameters, making abstract concepts tangible. For instance, tools like Transformer Explainer and CNN Explainer provide live, in-browser demonstrations of model internals, enabling users to input text or images and observe the resulting activations and predictions.

Quick Start & Requirements

  • Most tools can be accessed directly via provided links to live demos or hosted applications.
  • Some tools may require a modern web browser and potentially JavaScript enabled. Specific dependencies are usually detailed within individual tool's documentation or linked repositories.
  • Setup is generally minimal, often involving just clicking a link.

Highlighted Details

  • Transformer Explainer: Live GPT-2 model in the browser for understanding Transformer mechanics.
  • exBERT: Facilitates interactive investigation of model-internal reasoning for Hugging Face Transformers.
  • BertViz: Visualizes attention mechanisms across various Transformer architectures.
  • CNN Explainer & ConvNet Playground: Interactive visualizations for learning Convolutional Neural Networks.

Maintenance & Community

This is a curated list of external tools, with many originating from research labs (e.g., Google AI/PAIR, OpenAI, Distill.pub) or academic projects. Links to original sources and associated papers are provided.

Licensing & Compatibility

Licenses vary by individual tool, as this repository aggregates links to external projects. Users must consult the licensing terms of each specific tool for usage rights and compatibility.

Limitations & Caveats

The repository itself is a collection of links; it does not provide a unified interface or guarantee the ongoing maintenance of all linked external tools. Some tools may be experimental or have specific browser/performance requirements.

Health Check
Last commit

11 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
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Star History
37 stars in the last 90 days

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