Add projects: AtomGPT, ChemNLP, AomVision

[knc6]

Thanks for creating best-of-atomistic-machine-learning project, this is a valuable resource. Some of my projects are included in the list. Here are few others that can be added:

https://github.com/usnistgov/atomgpt

https://github.com/usnistgov/chemnlp

https://github.com/usnistgov/atomvision

[Irratzo]

Hi @knc6, thank you for the suggestions. I'll add them momentarily like this.

- name: AtomGPT
  github_id: usnistgov/atomgpt
  category: language-models
  labels: ["generative", "pretrained", "transformer"]
  license: https://github.com/usnistgov/atomgpt/blob/main/LICENSE.rst
  pypi_id: atomgpt
- name: NIST ChemNLP
  github_id: usnistgov/chemnlp
  category: language-models
  labels: ["literature-data"]
  license: MIT
  pypi_id: chemnlp
- name: Atomvision
  github_id: usnistgov/atomvision
  category: visualization
  labels: ["computer-vision", "experimental-data", "rep-learn"]
  license: https://github.com/usnistgov/atomvision/blob/master/LICENSE.md
  pypi_id: atomvision

Remarks.

• Adding ChemNLP as "NIST ChemNLP" to avoid user confusion and workflow name conflict with existing entry "ChemNLP", now renamed to "OpenBioML ChemNLP".
• Atomvision
  • Putting it into category "visualization" for now. This is not fitting. It should have its own category "Computer vision", which is a field of computer science distinct from visualization. For now, it would be the only entry in that category, so we refrain from it. We might change the categorization, in case the list gains more similar entries in the future.
  • Created the label "experimental-data" for this entry.
  • Question @knc6: Would you label this entry also as "multimodal"?