Project.toml

[deps]
ApproxFun = "28f2ccd6-bb30-5033-b560-165f7b14dc2f"
ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
DICOM = "a26e6606-dd52-5f6a-a97f-4f611373d757"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
ImageFiltering = "6a3955dd-da59-5b1f-98d4-e7296123deb5"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
Impute = "f7bf1975-0170-51b9-8c5f-a992d46b9575"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
LazyGrids = "7031d0ef-c40d-4431-b2f8-61a8d2f650db"
LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
MAT = "23992714-dd62-5051-b70f-ba57cb901cac"
NaNStatistics = "b946abbf-3ea7-4610-9019-9858bfdeaf2d"
NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Polyester = "f517fe37-dbe3-4b94-8317-1923a5111588"
Polynomials = "f27b6e38-b328-58d1-80ce-0feddd5e7a45"
ProgressBars = "49802e3a-d2f1-5c88-81d8-b72133a6f568"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
SciPy = "ebc72ef8-9537-4fb0-b64e-ac76025fed2d"
SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
SplitApplyCombine = "03a91e81-4c3e-53e1-a0a4-9c0c8f19dd66"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
VegaLite = "112f6efa-9a02-5b7d-90c0-432ed331239a"
YAML = "ddb6d928-2868-570f-bddf-ab3f9cf99eb6"

[extras]
CUDA_Runtime_jll = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"