lostella/ProtoGrad.jl
Deep learning 99% fat free
This is an experimental toolkit for researchers and machine learning practitioners who are building and experimenting with novel gradient-based optimization algorithms. It provides a flexible way to define models and objective functions using Julia, allowing users to focus on the mathematical core of their optimization problems. You would use this to implement and test new approaches to training machine learning models.
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Use this if you are a researcher or advanced practitioner who needs a flexible framework in Julia to define and optimize custom machine learning models and loss functions.
Not ideal if you need a production-ready, stable, and feature-complete deep learning framework, or if you are new to machine learning model development.
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32
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1
Language
Julia
License
MIT
Category
Last pushed
Jan 25, 2025
Commits (30d)
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