BrightBlueCheese/transformers_and_chemistry
The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA
No commits in the last 6 months.
Stars
5
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/BrightBlueCheese/transformers_and_chemistry"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rxn4chemistry/rxn-onmt-models
Training of OpenNMT-based RXN models
lamalab-org/MatText
Text-based modeling of materials.
CTCycle/ADSMOD-Adsorption-Modeling
Streamline adsorption modeling by automatically fitting theoretical adsorption models to...
HUBioDataLab/SELFormer
SELFormer: Molecular Representation Learning via SELFIES Language Models
VectorInstitute/atomgen
Library for handling atomistic graph datasets focusing on transformer-based implementations,...