Project.toml

name = "MFGnet"
uuid = "97b447e0-6553-5d69-bee2-d3681083803f"
license = "MIT"
desc = "A Machine Learning Framework for solving Mean Field Games and Control Problems"
authors = ["Lars Ruthotto <lruthotto@emory.edu>", "Samy Wu Fung <swufung@math.ucla.edu>"]
version = "0.2.0"

[deps]
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MAT = "23992714-dd62-5051-b70f-ba57cb901cac"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
jInv = "3dacf901-f8cd-5544-86ed-7a705f85c244"

[compat]
julia = "1.5"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]