
transformer-explainer
by poloclub (organization)
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization (description from the project’s GitHub page)
Repository facts
- Stars
- 9,003
- Forks
- 1,032
- Open issues and pull requests
- 23
- Primary language
- JavaScript
- License
- MIT License (MIT)
- Owner
- poloclub · Organization
- Created
- May 16, 2024
- Last push
- Jun 6, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 276: yamadashy/repomix
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or…
28,893 starsTypeScriptMITLast push Oct 18, 2026
Rank 1,488: TaskingAI/TaskingAI
The open source platform for AI-native application development.
5,407 starsPythonApache-2.0Last push Dec 2, 2024
Rank 1,556: h2oai/h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
5,183 starsPythonApache-2.0Last push Oct 17, 2026
Rank 3,250: instill-ai/instill-core
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
2,318 starsPythonOther licenseLast push Jun 1, 2026
Rank 5,298: bricks-cloud/BricksLLM
🔒 Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environ…
1,230 starsGoMITLast push Jan 5, 2025
Rank 5,833: dynamiq-ai/dynamiq
Dynamiq is an orchestration framework for agentic AI and LLM applications
1,071 starsPythonApache-2.0Last push Oct 17, 2026