Project.toml

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CUDAapi = "3895d2a7-ec45-59b8-82bb-cfc6a382f9b3"
CUDAnative = "be33ccc6-a3ff-5ff2-a52e-74243cff1e17"
Cascadia = "54eefc05-d75b-58de-a785-1a3403f0919f"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
CuArrays = "3a865a2d-5b23-5a0f-bc46-62713ec82fae"
DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
DiffEqSensitivity = "41bf760c-e81c-5289-8e54-58b1f1f8abe2"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DrWatson = "634d3b9d-ee7a-5ddf-bec9-22491ea816e1"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Gumbo = "708ec375-b3d6-5a57-a7ce-8257bf98657a"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
ImageIO = "82e4d734-157c-48bb-816b-45c225c6df19"
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
Juno = "e5e0dc1b-0480-54bc-9374-aad01c23163d"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
LoggingExtras = "e6f89c97-d47a-5376-807f-9c37f3926c36"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
Metalhead = "dbeba491-748d-5e0e-a39e-b530a07fa0cc"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
TensorBoardLogger = "899adc3e-224a-11e9-021f-63837185c80f"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Unicode = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
WAV = "8149f6b0-98f6-5db9-b78f-408fbbb8ef88"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"