sib-swiss/pytorch-practical-training
pratrical crash course on pytorch by reproducing some published biology-related deep-learning models
This crash course provides practical, hands-on experience in applying deep learning models using PyTorch, specifically for biological challenges. You'll work through Jupyter notebooks, inputting biological datasets and learning to implement models for tasks like protein subcellular localization or chest X-ray classification. It's designed for life scientists who are already proficient in Python and have a solid understanding of machine learning concepts.
Use this if you are a life scientist fluent in Python and machine learning, looking to gain practical PyTorch skills by working through established biological deep learning models.
Not ideal if you are looking for a theoretical introduction to deep learning or are not comfortable with Python programming and machine learning fundamentals.
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30
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6
Language
Jupyter Notebook
License
CC-BY-4.0
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Last pushed
Dec 03, 2025
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