FastAI.jl
Repository of best practices for deep learning in Julia, inspired by fastai (by FluxML)
model-zoo
Please do not feed the models (by FluxML)
| FastAI.jl | model-zoo | |
|---|---|---|
| 3 | 5 | |
| 584 | 883 | |
| 0.5% | 0.3% | |
| 4.0 | 4.6 | |
| 2 months ago | about 2 months ago | |
| Julia | Julia | |
| MIT License | GNU General Public License v3.0 or later |
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.
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.
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.
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Python vs Julia
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).
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Flux vs. TensorFlow
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.
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Is Julia Ready for Deep Learning
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.
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.
- sci-kit learn best for machine learning with Julia?
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Are there anyway to translate IPA to English? atleast, IPA text to pronounce sound
If your task is limited to isolated words or words that are separated by spaces, you can reverse the [CMU Pronouncing Dictionary](www.speech.cs.cmu.edu/cgi-bin/cmudict). In a programmatic environment with a dictionary/hash map, you will need to have the values be an extensible list of some sort to account for homophones. You could also train an ML model to convert phonemes to graphemes, like reversing this neural network model.
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Project in julia
You can also do some deep learning in Julia if you like. Flux.jl is Julia's deep learning library, and they have a model zoo of easy to follow working examples as a good starting point.
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Simple neural network model in Flux.jl doesn't seem to update the loss function
Secondly, flux.train! computes epochs automatically and is designed to take the entire data set. If you want to use the DataLoader, I think you probably need to write a custom training loop. It's not that complicated thankfully. The model zoo has some nice examples like: https://github.com/FluxML/model-zoo/blob/master/vision/mlp_mnist/mlp_mnist.jl
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Any Machine Learning Projects to Make with Julia
Check out the Flux.jl model zoo: https://github.com/FluxML/model-zoo#examples-listing
What are some alternatives?
When comparing FastAI.jl and model-zoo you can also consider the following projects:
MLJ.jl - A Julia machine learning framework
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
TensorFlow.jl - A Julia wrapper for TensorFlow
Transformers.jl - Julia Implementation of Transformer models
PyCall.jl - Package to call Python functions from the Julia language
NaiveGAflux.jl - Evolve Flux networks from scratch!
julia - The Julia Programming Language
AlphaZero.jl - A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
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