lamalab-org/chemlift
Language-interfaced fine-tuning for chemistry
This project helps chemists and materials scientists predict properties of chemical compounds using advanced language models. You input a list of chemical structures or names, along with examples of known properties, and it outputs predictions for new compounds. It's designed for researchers who need to quickly assess properties like bandgap or toxicity without extensive lab work, especially with limited data.
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Use this if you need to predict chemical properties for new or hypothetical compounds based on a small set of known examples, leveraging the power of large language models.
Not ideal if you primarily work with traditional cheminformatics methods and prefer not to integrate large language models into your prediction workflows.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 30, 2023
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