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Project.toml
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Project.toml
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[deps]
AbstractGPs = "99985d1d-32ba-4be9-9821-2ec096f28918"
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
DFTK = "acf6eb54-70d9-11e9-0013-234b7a5f5337"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
FLoops = "cc61a311-1640-44b5-9fba-1b764f453329"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
FluxTraining = "7bf95e4d-ca32-48da-9824-f0dc5310474f"
GenericLinearAlgebra = "14197337-ba66-59df-a3e3-ca00e7dcff7a"
Gridap = "56d4f2e9-7ea1-5844-9cf6-b9c51ca7ce8e"
IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
IntervalArithmetic = "d1acc4aa-44c8-5952-acd4-ba5d80a2a253"
IterativeSolvers = "42fd0dbc-a981-5370-80f2-aaf504508153"
LibGit2 = "76f85450-5226-5b5a-8eaa-529ad045b433"
Libdl = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLDataPattern = "9920b226-0b2a-5f5f-9153-9aa70a013f8b"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
Measurements = "eff96d63-e80a-5855-80a2-b1b0885c5ab7"
ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Pipe = "b98c9c47-44ae-5843-9183-064241ee97a0"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Profile = "9abbd945-dff8-562f-b5e8-e1ebf5ef1b79"
ProfileSVG = "132c30aa-f267-4189-9183-c8a63c7e05e6"
ProfileView = "c46f51b8-102a-5cf2-8d2c-8597cb0e0da7"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
Stheno = "8188c328-b5d6-583d-959b-9690869a5511"
TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
Traceur = "37b6cedf-1f77-55f8-9503-c64b63398394"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"