model-zoo
Please do not feed the models (by FluxML)
reproduced_data
By Hydrocarpentry
Our great sponsors
model-zoo | reproduced_data | |
---|---|---|
5 | 1 | |
883 | 1 | |
1.2% | - | |
4.6 | 0.0 | |
about 1 month ago | almost 6 years ago | |
Julia | Jupyter Notebook | |
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.
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
reproduced_data
Posts with mentions or reviews of reproduced_data.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-12.
-
Project in julia
there appears to be something on github. feel free to use a similar dataset or try new variables and perhaps try a different classifier to see any good results.
What are some alternatives?
When comparing model-zoo and reproduced_data you can also consider the following projects:
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
Transformers.jl - Julia Implementation of Transformer models
NaiveGAflux.jl - Evolve Flux networks from scratch!
AlphaZero.jl - A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
FastAI.jl - Repository of best practices for deep learning in Julia, inspired by fastai