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University of Copenhagen
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Exercises and supplementary material for the machine learning operations course at DTU.
Cross-protein transfer learning for variant effect prediction
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
Foldseek enables fast and sensitive comparisons of large structure sets.
GREMLIN is a method to learn a statistical model of a protein family that captures both conservation and co-evolution patterns in the family. The strength of measured co-evolution is strongly predi…
A deep learning-based tool to identify splice variants
Making Protein Design accessible to all via Google Colab!
sokrypton / OmegaFold
Forked from HeliXonProtein/OmegaFoldOmegaFold Release Code
Making Protein folding accessible to all!
Software development pipelines related to the PRISM project
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science