model-zoo VS FastAI.jl

Compare model-zoo vs FastAI.jl and see what are their differences.

FastAI.jl

Repository of best practices for deep learning in Julia, inspired by fastai (by FluxML)
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model-zoo FastAI.jl
5 3
883 584
1.2% 1.4%
4.6 4.0
about 1 month ago about 2 months ago
Julia Julia
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

model-zoo

Posts with mentions or reviews of model-zoo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-12.

FastAI.jl

Posts with mentions or reviews of FastAI.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-03.
  • Python vs Julia
    3 projects | /r/Julia | 3 Aug 2021
    You should definitely go with Julia. It has steeper learning curve than python, but it is way more powerful. As for the ecosystem, you shouldn't worry about that much: DataFrames.jl and friends is way better than pandas, MLJ.jl (https://github.com/alan-turing-institute/MLJ.jl) and FastAI.jl(https://github.com/FluxML/FastAI.jl) are great frameworks for regular ML and deepnet. And if at any point you get a feeling that you need some python library, you can always plug it in with PyCall.jl(https://github.com/JuliaPy/PyCall.jl).
  • Flux vs. TensorFlow
    2 projects | /r/Julia | 16 Jun 2021
    Flux is nice, the API is very simple but it is lacking several utilities that PyTorch or TensorFlow have. Fortunately, [FastAI](https://github.com/FluxML/FastAI.jl) is adding these parts as a additional package. I hope very soon I could recommend the Deep Learning ecosystem in Julia without any doubt.
  • Is Julia Ready for Deep Learning
    1 project | /r/Julia | 23 Dec 2020
    There’s apparently an ongoing effort to port fast.ai v2 to Julia at https://github.com/FluxML/FastAI.jl - there some virtual standups on YouTube tracking progress, see https://youtu.be/3g0vjDA0PBU for example.

What are some alternatives?

When comparing model-zoo and FastAI.jl you can also consider the following projects:

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

MLJ.jl - A Julia machine learning framework

Transformers.jl - Julia Implementation of Transformer models

TensorFlow.jl - A Julia wrapper for TensorFlow

NaiveGAflux.jl - Evolve Flux networks from scratch!

PyCall.jl - Package to call Python functions from the Julia language

AlphaZero.jl - A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

julia - The Julia Programming Language

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