# Machine-Learning-Tokyo/Interactive_Tools

Interactive Tools for Machine Learning, Deep Learning and Math

Repository: https://github.com/Machine-Learning-Tokyo/Interactive_Tools
Canonical: https://ross.abutalabs.com/products/interactive_tools
License Family: other
Topics: deep-learning, interactive-tools, machine-learning
Last push: 2024-08-11T20:51:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2683, "days_push": 752, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2883, forks 327 (observed 2026-08-28T04:07:28.111788+00:00)

## What it is
A curated list of interactive tools for learning machine learning, deep learning, and math, including browser-based visualizers like Transformer Explainer, CNN Explainer, BertViz, and Seeing Theory. It serves as an educational index linking to interactive visualizations and playgrounds rather than being a tool itself.

## Use cases
- find interactive tools to learn how transformers work
- visualize attention in BERT models
- learn deep learning concepts through browser playgrounds
- explore probability and statistics interactively
- discover model interpretability and visualization tools
- find visual introductions to machine learning for teaching

## When to choose
- you want a curated index of interactive ML/DL learning visualizations
- you are teaching or self-studying machine learning concepts visually
- you need links to interpretability tools like BertViz or LIT

## When to avoid
- you need a runnable library or framework to integrate into your code
- you want production ML tooling rather than educational resources
- you need actively maintained software with a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, data-visualization, nlp
- domain: machine-learning, deep-learning, education, data-visualization, mathematics
- platform: browser, cross-platform
- tags: awesome-list, interactive-visualization, interpretability, curated-list, education, natural-language-processing, web-server

## Member repositories
- Machine-Learning-Tokyo/Interactive_Tools (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:28.111788+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:35:25.381050+00:00, confidence not recorded.
  - readme: https://github.com/Machine-Learning-Tokyo/Interactive_Tools (fetched 2026-08-28T04:07:28.111788+00:00, sha a6371a97d36a)
- Data as of 2026-08-30T08:39:29.467469+00:00.