Project.toml

name = "Neurogenesis"
uuid = "4884b583-dd69-4092-ad05-0eac45d5a286"
version = "0.1.0"

[deps]
ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CPUTime = "a9c8d775-2e2e-55fc-8582-045d282d599e"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ImageIO = "82e4d734-157c-48bb-816b-45c225c6df19"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LowRankApprox = "898213cb-b102-5a47-900c-97e73b919f73"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
NNlibCUDA = "a00861dc-f156-4864-bf3c-e6376f28a68d"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Tar = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
julia = ">= 1.6"

[extras]
CPUSummary = "2a0fbf3d-bb9c-48f3-b0a9-814d99fd7ab9"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]