NVIDIA ๐พ๐๐๐ข๐๐ฃ๐๐ค๐ง๐ข๐๐ฉ๐๐๐จ ๐ค๐ฃ ๐ฉ๐๐ Amazon Web Services (AWS) ๐พ๐ก๐ค๐ช๐ is designed for ๐๐๐๐ข๐๐จ๐ฉ๐จ ๐๐ฃ๐ ๐๐๐๐ก๐ฉ๐ ๐๐๐ง๐ ๐จ๐๐๐๐ฃ๐ฉ๐๐จ๐ฉ๐จ who want to explore ๐๐๐๐๐๐ค๐ก๐ฝ๐ผ๐๐, a transformer model of the latent space of small molecules obtained through self-supervised learning of compound ๐๐๐๐๐๐.
Thanks to John Smith, Doruk Ozturk, and Troy Ameigh for their ๐๐ช๐๐๐ ๐๐ฉ๐๐ง๐ฉ ๐๐ช๐๐๐ which can serve as a ๐ฅ๐ง๐ค๐ค๐ ๐ค๐ ๐๐ค๐ฃ๐๐๐ฅ๐ฉ for:
(1) ๐๐๐ ๐ฅ๐๐๐ง๐ข๐๐๐๐ช๐ฉ๐๐๐๐ก and
(2) ๐จ๐ฉ๐๐ง๐ฉ-๐ช๐ฅ companies
that are curious about ๐ง๐๐ฅ๐ง๐๐จ๐๐ฃ๐ฉ๐๐ฉ๐๐ค๐ฃ๐๐ก ๐ก๐๐๐ง๐ฃ๐๐ฃ๐ for compounds or ๐๐๐ฃ๐๐ง๐๐ฉ๐๐ซ๐ ๐๐๐๐ข๐๐จ๐ฉ๐ง๐ฎ before implementing ๐พ๐๐๐ข๐๐ฃ๐๐ค๐ง๐ข๐๐ฉ๐๐๐จ in their own environments.
๐๐๐๐ฟ๐๐ผ ๐พ๐๐๐ข๐๐ฃ๐๐ค๐ง๐ข๐๐ฉ๐๐๐จ ๐ค๐ฃ ๐ฉ๐๐ ๐ผ๐๐ ๐พ๐ก๐ค๐ช๐: ๐๐ช๐๐๐ ๐๐ฉ๐๐ง๐ฉ ๐ฟ๐๐ฅ๐ก๐ค๐ฎ๐ข๐๐ฃ๐ฉ ๐๐ช๐๐๐
https://aws-quickstart.github.io/quickstart-nvidia-cheminformatics/
๐๐ฉ๐๐ฎ ๐ฉ๐ช๐ฃ๐๐ ๐๐ฎ ๐๐ค๐ก๐ก๐ค๐ฌ๐๐ฃ๐
https://www.linkedin.com/feed/hashtag/didAbRyouAbRknowAbRthat/
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