AspirinCode/awesome-AI4MolConformation-MD
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
- Stars
- 306
- Forks
- 27
- Open issues
- 0
- Last push
- 1d ago
About awesome-AI4MolConformation-MD
awesome-AI4MolConformation-MD is a free, open-source AI resource list by AspirinCode. List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning. It has 306 GitHub stars and 27 forks, and was last updated 1d ago. It's released under the GPL-3.0 license, a standard open-source license.
- License
- GPL-3.0
- Language
- –
- Stars
- 306
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-AI4MolConformation-MD FAQ
Is awesome-AI4MolConformation-MD free?
Yes. awesome-AI4MolConformation-MD is open source and free to use. It's released under the GPL-3.0 license, a standard open-source license.
Does awesome-AI4MolConformation-MD run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-AI4MolConformation-MD need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-AI4MolConformation-MD still maintained?
Yes. It was last updated 1d ago and has 0 open issues on GitHub.
What are alternatives to awesome-AI4MolConformation-MD?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, papers-for-molecular-design-using-DL, x-transformers.