swiftai
DataLoaders.jl
swiftai | DataLoaders.jl | |
---|---|---|
1 | 1 | |
457 | 73 | |
0.0% | - | |
0.0 | 0.0 | |
over 3 years ago | over 1 year ago | |
Jupyter Notebook | Julia | |
Apache License 2.0 | MIT License |
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swiftai
DataLoaders.jl
-
Fastai.jl: Fastai for Julia
> When should I choose FastAI.jl vs fastai?
This depends on your use cases and how comfortable you are with a) Julia b) having to roll some of your own code. For the first, I'd recommend poking around with the language before as well as using the linked dev channel in TFA to get an informed opinion.
FastAI.jl itself is composed of multiple constituent packages that can and are used independently, so there's also the option of mixing and matching. For example, https://github.com/lorenzoh/DataLoaders.jl is completely library agnostic.
What are some alternatives?
Transformers.jl - Julia Implementation of Transformer models
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
FluxTraining.jl - A flexible neural net training library inspired by fast.ai
GeometricFlux.jl - Geometric Deep Learning for Flux