juliensimon/dlnotebooks
Deep Learning demos with different frameworks (2016-2020)
This collection offers practical code examples for understanding and applying various deep learning and machine learning techniques. It takes raw data or images, processes them through different models, and shows how to generate insights like classifications, predictions, or sentiment analysis. Data scientists, machine learning engineers, and researchers can use this to learn and experiment with different frameworks and problem types.
111 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for concrete, hands-on examples to learn or prototype different deep learning and traditional machine learning models.
Not ideal if you need a production-ready solution, as this repository is archived and may contain outdated code or dependencies.
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111
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96
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Jupyter Notebook
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Last pushed
Jul 17, 2025
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