-
-
Notifications
You must be signed in to change notification settings - Fork 154
/
Copy pathProject.toml
75 lines (74 loc) · 2.54 KB
/
Project.toml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
DataDeps = "124859b0-ceae-595e-8997-d05f6a7a8dfe"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
LuxCUDA = "d0bbae9a-e099-4d5b-a835-1c6931763bda"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
NNlib = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
OneHotArrays = "0b1bfda6-eb8a-41d2-88d8-f5af5cad476f"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
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"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
[compat]
CSV = "0.10"
CUDA = "5"
ComponentArrays = "0.15"
DataDeps = "0.7"
DataFrames = "1"
DiffEqFlux = "4"
Distances = "0.10.7"
Distributions = "0.25.78"
Documenter = "1"
Flux = "0.14, 0.15, 0.16"
ForwardDiff = "0.10"
IterTools = "1"
LinearAlgebra = "1"
Lux = "1"
LuxCUDA = "0.3"
MLDatasets = "0.7.18"
MLUtils = "0.4"
NNlib = "0.9"
OneHotArrays = "0.2"
Optimisers = "0.3, 0.4"
Optimization = "4"
OptimizationOptimJL = "0.4"
OptimizationOptimisers = "0.3"
OptimizationPolyalgorithms = "0.3"
OrdinaryDiffEq = "6.31"
Plots = "1.36"
Printf = "1"
Random = "1"
ReverseDiff = "1.14"
SciMLBase = "2"
SciMLSensitivity = "7.11"
StableRNGs = "1"
Statistics = "1"
StochasticDiffEq = "6.56"
Test = "1"
Zygote = "0.6.62, 0.7"