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Project.toml
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Project.toml
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name = "RegNeuralDE"
uuid = "609fb2e8-5edb-4085-901c-b8bcb729cc96"
authors = ["Avik Pal <[email protected]> and contributors"]
version = "0.1.0"
[deps]
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
ColorBrewer = "a2cac450-b92f-5266-8821-25eda20663c8"
DataLoaders = "2e981812-ef13-4a9c-bfa0-ab13047b12a9"
DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
DiffEqSensitivity = "41bf760c-e81c-5289-8e54-58b1f1f8abe2"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DistributionsAD = "ced4e74d-a319-5a8a-b0ac-84af2272839c"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Format = "1fa38f19-a742-5d3f-a2b9-30dd87b9d5f8"
LearnBase = "7f8f8fb0-2700-5f03-b4bd-41f8cfc144b6"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLDataUtils = "cc2ba9b6-d476-5e6d-8eaf-a92d5412d41d"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
MacroTools = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
NPZ = "15e1cf62-19b3-5cfa-8e77-841668bca605"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
YAML = "ddb6d928-2868-570f-bddf-ab3f9cf99eb6"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
[compat]
julia = "1"
[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[targets]
test = ["Test"]