Collection of interactive ML/DL tools and visualizations
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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
Highlighted Details
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.
11 months ago
Inactive