denizyuret/Knet.jl

Koç University deep learning framework.

49
/ 100
Emerging

This project offers a deep learning framework built in Julia for researchers and practitioners. It takes raw data, such as images or numerical datasets, and helps you define, train, and evaluate complex neural network models. The primary users are machine learning engineers and data scientists working on advanced AI applications.

1,436 stars. No commits in the last 6 months.

Use this if you are a machine learning researcher or engineer looking for a deep learning framework in Julia that supports GPU acceleration and automatic differentiation for building custom models.

Not ideal if you are new to deep learning or prefer frameworks with higher-level APIs and extensive pre-built model libraries in Python.

deep-learning neural-networks machine-learning-engineering scientific-computing gpu-accelerated-computing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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1,436

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226

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Jupyter Notebook

License

Last pushed

Nov 15, 2024

Commits (30d)

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