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Project.toml
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Project.toml
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name = "NeuralPDE"
uuid = "315f7962-48a3-4962-8226-d0f33b1235f0"
authors = ["Chris Rackauckas <accounts@chrisrackauckas.com>"]
version = "5.10.0"
[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
AdvancedHMC = "0bf59076-c3b1-5ca4-86bd-e02cd72cde3d"
ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
Cubature = "667455a9-e2ce-5579-9412-b964f529a492"
DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
DiffEqNoiseProcess = "77a26b50-5914-5dd7-bc55-306e6241c503"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
DomainSets = "5b8099bc-c8ec-5219-889f-1d9e522a28bf"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
Integrals = "de52edbc-65ea-441a-8357-d3a637375a31"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
MonteCarloMeasurements = "0987c9cc-fe09-11e8-30f0-b96dd679fdca"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
QuasiMonteCarlo = "8a4e6c94-4038-4cdc-81c3-7e6ffdb2a71b"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
RuntimeGeneratedFunctions = "7e49a35a-f44a-4d26-94aa-eba1b4ca6b47"
SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
SymbolicUtils = "d1185830-fcd6-423d-90d6-eec64667417b"
Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
UnPack = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
[compat]
Adapt = "3, 4"
AdvancedHMC = "0.5"
ArrayInterface = "6, 7"
CUDA = "4"
ChainRulesCore = "1"
ComponentArrays = "0.13.2, 0.14, 0.15"
Cubature = "1.5"
DiffEqBase = "6"
DiffEqNoiseProcess = "5.1"
Distributions = "0.23, 0.24, 0.25"
DocStringExtensions = "0.8, 0.9"
DomainSets = "0.6, 0.7"
Flux = "0.14"
ForwardDiff = "0.10"
Functors = "0.4"
Integrals = "4"
LineSearches = "7.2"
LogDensityProblems = "2"
Lux = "0.4, 0.5"
MCMCChains = "6"
ModelingToolkit = "8"
MonteCarloMeasurements = "1"
Optim = "1.7.8"
Optimization = "3"
OptimizationOptimisers = "0.1"
QuasiMonteCarlo = "0.3.2"
Reexport = "1.0"
RuntimeGeneratedFunctions = "0.5"
SciMLBase = "2"
Statistics = "1"
StochasticDiffEq = "6.13"
SymbolicUtils = "1"
Symbolics = "5"
UnPack = "1"
Zygote = "0.6"
julia = "1.6"
[extras]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
LuxCUDA = "d0bbae9a-e099-4d5b-a835-1c6931763bda"
OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
[targets]
test = ["Test", "CUDA", "SafeTestsets", "OptimizationOptimJL", "Pkg", "OrdinaryDiffEq", "LineSearches", "cuDNN", "LuxCUDA", "Flux"]