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Merge pull request #256 from EssamWisam/more-tutorials
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✨ Add 7 workflow examples for MLJFlux
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EssamWisam authored Jun 10, 2024
2 parents f38e0cf + 38ae2d5 commit 3ac787e
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3 changes: 2 additions & 1 deletion .gitignore
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Expand Up @@ -6,4 +6,5 @@
.DS_Store
sandbox/
docs/build
/examples/mnist/mnist_machine*
/examples/mnist/mnist_machine*
Manifest.toml
14 changes: 8 additions & 6 deletions docs/make.jl
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Expand Up @@ -34,14 +34,16 @@ makedocs(
"Image Classification"=>"interface/Image Classification.md",
],
"Workflow Examples" => Any[
"Incremental Training"=>"workflow examples/Incremental Training.md",
#"Validation and Hyperparameter Tuning"=>"workflow examples/Hyperparameter Tuning.md",
#"Early Stopping"=>"workflow examples/Early Stopping.md",
#"Model Composition"=>"workflow examples/Composition.md",
"Incremental Training"=>"workflow examples/Incremental Training/incremental.md",
"Hyperparameter Tuning"=>"workflow examples/Hyperparameter Tuning/tuning.md",
"Neural Architecture Search"=>"workflow examples/Basic Neural Architecture Search/tuning.md",
"Model Composition"=>"workflow examples/Composition/composition.md",
"Model Comparison"=>"workflow examples/Comparison/comparison.md",
"Early Stopping"=>"workflow examples/Early Stopping/iteration.md",
"Live Training"=>"workflow examples/Live Training/live-training.md",
],
# "Tutorials"=>Any[
# "MNIST Digits Classification"=>"full tutorials/MNIST.md",
# "Boston House Prices Prediction"=>"full tutorials/Boston.md",
# "Spam Detection with RNNs"=>"full tutorials/Spam Detection with RNNs/SMS.md"
# ],
"Contributing" => "contributing.md"],
doctest = false,
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4 changes: 4 additions & 0 deletions docs/src/assets/themes/documenter-light.css
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Expand Up @@ -11729,5 +11729,9 @@ summary {
}

details {
padding: 10px 20px;
border: 0px solid #e4eaef;
border-radius: 20px;
margin-bottom: 1.5rem;
background-color: #e4eaef;
}
10 changes: 10 additions & 0 deletions docs/src/full tutorials/Spam Detection with RNNs/Project.toml
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@@ -0,0 +1,10 @@
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Languages = "8ef0a80b-9436-5d2c-a485-80b904378c43"
MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
MLJText = "5e27fcf9-6bac-46ba-8580-b5712f3d6387"
ScientificTypes = "321657f4-b219-11e9-178b-2701a2544e81"
TextAnalysis = "a2db99b7-8b79-58f8-94bf-bbc811eef33d"
WordTokenizers = "796a5d58-b03d-544a-977e-18100b691f6e"
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