AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
- Stars
- 951
- Forks
- 119
- Open issues
- 0
- Last push
- 3d ago
About papers-for-molecular-design-using-DL
papers-for-molecular-design-using-DL is a free, open-source AI resource list by AspirinCode. List of Molecular and Material design using Generative AI and Deep Learning. It has 951 GitHub stars and 119 forks, and was last updated 3d ago. It's released under the GPL-3.0 license, a standard open-source license.
- License
- GPL-3.0
- Language
- –
- Stars
- 951
- Last update
- 3d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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papers-for-molecular-design-using-DL FAQ
Is papers-for-molecular-design-using-DL free?
Yes. papers-for-molecular-design-using-DL is open source and free to use. It's released under the GPL-3.0 license, a standard open-source license.
Does papers-for-molecular-design-using-DL run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does papers-for-molecular-design-using-DL need a GPU?
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Yes. It was last updated 3d ago and has 0 open issues on GitHub.
What are alternatives to papers-for-molecular-design-using-DL?
Similar free, open-source tools include Prompt-Engineering-Guide, 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, free-ai-resources-x, ai-game-devtools.