🦠 Model Request: Uni-Mol Representation

[miquelduranfrigola]

Model Name

Uni-Mol molecular representation

Model Description

Uni-Mol offers a simple and effective SE(3) equivariant transformer architecture for pre-training molecular representations that capture 3D information. The model is trained on >200M conformations. The current model outputs a representation embedding.

Slug

unimol-representation

Tag

Fingerprint

Publication

https://openreview.net/forum?id=6K2RM6wVqKu

Source Code

https://github.com/deepmodeling/Uni-Mol

License

GPL-3.0-only

[miquelduranfrigola]

/approve

[github-actions[bot]]

New Model Repository Created! 🎉

@miquelduranfrigola ersilia model respository has been successfully created and is available at:

🔗 ersilia-os/eos39co

Next Steps ⭐

Now that your new model respository has been created, you are ready to start contributing to it!

Here are some brief starter steps for contributing to your new model repository:

Note: Many of the bullet points below will have extra links if this is your first time contributing to a GitHub repository

• 🍴 Get started by creating a fork of your new model repository - docs
• 👯 Clone your forked repository - docs
• ✏️ Make edits to your new forked model repository - docs - Edits might include:
  • Updating the README.md file to accurately describe your model
  • Add source code for your model
  • Adding documentation for your model
• 🚀 Open a Pull Request from your forked repository to the original repository. This will allow you to bring your local changes into the new ersilia model repository that was just created! - docs

Additional Resources 📚

• CONTRIBUTING.md
• About Pull Requests
• About Forks

If you have any questions, please feel free to open an issue and get support from the community!

[miquelduranfrigola]

@GemmaTuron this works, right? Can we close?

[GemmaTuron]

yes!