FluxML/FastAI.jl
Repository of best practices for deep learning in Julia, inspired by fastai
FastAI.jl helps machine learning practitioners quickly train advanced deep learning models in Julia. It streamlines the process of preparing data, building, and training models, particularly for computer vision and tabular data tasks. This library is for data scientists and ML engineers working with Julia who want to develop high-performance AI solutions without extensive boilerplate code.
592 stars. No commits in the last 6 months.
Use this if you are a Julia user looking to efficiently build and train state-of-the-art deep learning models for image classification or tabular data analysis.
Not ideal if you prefer Python-based deep learning frameworks or need to deploy models to environments that do not support Julia.
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592
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Language
Julia
License
MIT
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Last pushed
Aug 26, 2025
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