Stars and mentions
Last 30 days, Oct 4 – Nov 2
Package downloads
Cumulative recorded downloads · since 2025-10-20
Across 2 known packages in repositories poloclub owns. Cumulative totals include recorded downloads before the selected range. Missing observations leave gaps; totals may be incomplete.
Top repositories
poloclub’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside poloclub’s account where poloclub opened or reviewed pull requests in the past 365 days.
Who noticed poloclub
Everyone who starred or forked poloclub’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
- Gold
- 01st place finishes
- Silver
- 12nd place finishes
- Bronze
- 13rd place finishes
- Awarded repositories
- 1Owned by poloclub now
Repositories
Ordered by gold, then silver, then bronze.
- cnn-explainerBest: 2nd by stars, 277 stars011
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
Transformer Explainer: a neat visual summary poloclub/transformer-explainer
Transformer Explainer: Interactive Learning of Text-Generative Models (9.0k stars) What it does All text below is quoted directly from the project README. >Transformer Explainer is an interactive visualization tool designed to help anyone learn how Transformer-based models like GPT work. It runs a live GPT-2 model right in your browser, allowing you to experiment with your own text and observe in real time how internal components and operations of the Transformer work together to predict the next tokens. Try Transformer Explainer at poloclub.github.io and watch a demo video on YouTube youtu.be. Research Paper: >Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentations. Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng Chau. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. How to run locally: Prerequisites - Node.js v20 or higher - NPM v10 or higher >Then, on your web browser, access localhost. Credits: >Transformer Explainer was created by Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Jay Wang, Seongmin Lee, Benjamin Hoover, and Polo Chau at the Georgia Institute of Technology. More AI explainers to check out: - Diffusion Explainer for learning how Stable Diffusion transforms text prompt into image - CNN Explainer - GAN Lab for playing with Generative Adversarial Networks in browser Repository poloclub/transformer-explainer Repository stats |Metric|Value| |:-|:-| |Stars|8,962| |Forks|1.0k| |Last release|v0.0.1 (2024-06-11)| |Languages|JavaScript 95%, Svelte 3.8%, TypeScript 0.8%| |Contributors|11| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|None| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Aeree Cho| |GitHub|@aereeeee| |Commits to this repo|74 (top contributor)| |Company / Location|Georgia Tech / Atlanta| |Followers|135|