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Project.toml
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Project.toml
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[deps]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
Calculus = "49dc2e85-a5d0-5ad3-a950-438e2897f1b9"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
DataInterpolations = "82cc6244-b520-54b8-b5a6-8a565e85f1d0"
DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
DiffEqNoiseProcess = "77a26b50-5914-5dd7-bc55-306e6241c503"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
GraphNeuralNetworks = "cffab07f-9bc2-4db1-8861-388f63bf7694"
IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
OptimizationNLopt = "4e6fcdb7-1186-4e1f-a706-475e75c168bb"
OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
OptimizationPolyalgorithms = "500b13db-7e66-49ce-bda4-eed966be6282"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
QuadGK = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
SimpleChains = "de6bee2f-e2f4-4ec7-b6ed-219cc6f6e9e5"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
[compat]
CUDA = "3.12, 4, 5"
Calculus = "0.5"
ComponentArrays = "0.13, 0.14, 0.15"
DataInterpolations = "3.10, 4"
DiffEqBase = "6.106"
DiffEqCallbacks = "2.24"
DiffEqFlux = "1.52, 2"
DiffEqNoiseProcess = "5.14"
DifferentialEquations = "7.6"
Documenter = "1"
Flux = "0.13, 0.14"
ForwardDiff = "0.10"
GraphNeuralNetworks = "0.5, 0.6"
IterTools = "1.4"
Lux = "0.4, 0.5"
MLDatasets = "0.7"
NNlib = "0.8, 0.9"
Optimisers = "0.2, 0.3"
Optimization = "3.9"
OptimizationNLopt = "0.1"
OptimizationOptimJL = "0.1"
OptimizationOptimisers = "0.1"
OptimizationPolyalgorithms = "0.1"
OrdinaryDiffEq = "6.31"
Plots = "1.36"
QuadGK = "2.6"
RecursiveArrayTools = "2.32"
ReverseDiff = "1.14"
SciMLSensitivity = "7.11"
SimpleChains = "0.4"
StaticArrays = "1.5"
Statistics = "1"
StochasticDiffEq = "6.56"
Tracker = "0.2"
Zygote = "0.6"