Project.toml

name = "MLJFlux"
uuid = "094fc8d1-fd35-5302-93ea-dabda2abf845"
authors = ["Anthony D. Blaom <anthony.blaom@gmail.com>", "Ayush Shridhar <ayush.shridhar1999@gmail.com>"]
version = "0.6.5"

[deps]
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
ColorTypes = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
ComputationalResources = "ed09eef8-17a6-5b46-8889-db040fac31e3"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
Metalhead = "dbeba491-748d-5e0e-a39e-b530a07fa0cc"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"

[compat]
CategoricalArrays = "0.10"
ColorTypes = "0.10.3, 0.11, 0.12"
ComputationalResources = "0.3.2"
Flux = "0.14, 0.15, 0.16"
MLJModelInterface = "1.11"
Metalhead = "0.9.3"
Optimisers = "0.3.2, 0.4"
ProgressMeter = "1.7.1"
StatisticalMeasures = "0.1"
Statistics = "<0.0.1, 1"
Tables = "1.0"
julia = "1.10"

[extras]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
StatisticalMeasures = "a19d573c-0a75-4610-95b3-7071388c7541"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"

[targets]
test = ["CUDA", "cuDNN", "LinearAlgebra", "Logging", "MLJBase", "Random", "StableRNGs", "StatisticalMeasures", "StatsBase", "Test"]