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Project.toml
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name = "OptImpSampling"
uuid = "e32dacf4-0a2b-4f26-bff4-03a75db77042"
authors = ["Alexander Sikorski <[email protected]>"]
version = "0.1.0"
[deps]
Arpack = "7d9fca2a-8960-54d3-9f78-7d1dccf2cb97"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
DiffEqNoiseProcess = "77a26b50-5914-5dd7-bc55-306e6241c503"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FLoops = "cc61a311-1640-44b5-9fba-1b764f453329"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
Memoize = "c03570c3-d221-55d1-a50c-7939bbd78826"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
SimpleChains = "de6bee2f-e2f4-4ec7-b6ed-219cc6f6e9e5"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"