OpenMachine-ai/transformer-tricks
A collection of tricks and tools to speed up transformer models
- Stars
- 234
- Forks
- 17
- Open issues
- 0
- Last push
- 10d ago
About transformer-tricks
transformer-tricks is a free, open-source AI resource list by OpenMachine-ai, written mainly in TeX. A collection of tricks and tools to speed up transformer models. It has 234 GitHub stars and 17 forks, and was last updated 10d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- TeX
- Stars
- 234
- Last update
- 10d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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transformer-tricks FAQ
Is transformer-tricks free?
Yes. transformer-tricks is open source and free to use. It's released under the MIT license, a standard open-source license.
Does transformer-tricks run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does transformer-tricks need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is transformer-tricks still maintained?
Yes. It was last updated 10d ago and has 0 open issues on GitHub.
What are alternatives to transformer-tricks?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, Prompt-Engineering-Guide, CVPR2026-Papers-with-Code, arxiv-mcp-server.