deep-learning-for-biology/notebooks

Notebooks to follow along with "Deep Learning for Biology" Chapters 2 to 6.

48
/ 100
Emerging

This resource provides interactive computational notebooks that apply advanced machine learning to solve specific biological challenges. You can input various biological data, such as DNA/RNA sequences, protein data, medical images, or cellular organization patterns, to generate predictive models or insights. It's designed for students, researchers, and practitioners in biology, bioinformatics, or related fields who want to learn and apply deep learning techniques.

115 stars.

Use this if you are studying or working on biological problems and want to understand how deep learning can be used with different types of biological data.

Not ideal if you are looking for the full textual explanation of the deep learning concepts; this resource only provides the code examples from the companion book.

bioinformatics genomics proteomics drug-discovery medical-imaging
No License No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 7 / 25
Community 21 / 25

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Jupyter Notebook

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Last pushed

Jan 21, 2026

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