sIlENtbuffER/Generative-Models
Generative models from scratch, progressively implemented in NumPy, C, and CUDA to uncover what ML frameworks hide.
- Stars
- 160
- Forks
- 16
- Open issues
- 0
- Last push
- 20d ago
Generative-Models star history
+0 this week
About Generative-Models
Generative-Models is a free, open-source AI developer tool by sIlENtbuffER, written mainly in C. Generative models from scratch, progressively implemented in NumPy, C, and CUDA to uncover what ML frameworks hide. It has 160 GitHub stars and 16 forks, and was last updated 20d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- C
- Stars
- 160
- Last update
- 20d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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Generative-Models FAQ
Can I use Generative-Models commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is Generative-Models free?
Yes. Generative-Models is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Generative-Models run on a Mac?
Yes. According to the project, Generative-Models works on macOS.
Does Generative-Models need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Generative-Models still maintained?
Yes. It was last updated 20d ago and has 0 open issues on GitHub.
What are alternatives to Generative-Models?
Similar free, open-source tools include statsmodels, new-api, Foundation-Models-Framework-Lab, colibri.
Maintain Generative-Models?
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