Project.toml

name = "JuloVelo"
uuid = "fb5b9b97-769b-420c-af3f-35205bf5fcdb"
authors = ["Kuan-Chiun Tung <tungsega@yahoo.com.tw>"]
version = "1.0.0"

[deps]
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
CurveFit = "5a033b19-8c74-5913-a970-47c3779ef25c"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
MultivariateStats = "6f286f6a-111f-5878-ab1e-185364afe411"
Muon = "446846d7-b4ce-489d-bf74-72da18fe3629"
NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
Pickle = "fbb45041-c46e-462f-888f-7c521cafbc2c"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
TensorBoardLogger = "899adc3e-224a-11e9-021f-63837185c80f"
UMAP = "c4f8c510-2410-5be4-91d7-4fbaeb39457e"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"

[compat]
CategoricalArrays = "0.9.7"
Muon = "=0.2.0"
ProgressMeter = "1.10.2"
SparseArrays = "1.11.0"
StructArrays = "0.6.18"
julia = "1.10"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]