Project.toml

name = "GenerativeMIL"
uuid = "f587a668-c5e7-5861-9bd6-a75883e5a803"
authors = ["Matej Zorek <ghostmanthe@gmail.com>"]
version = "0.1.0"

[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DrWatson = "634d3b9d-ee7a-5ddf-bec9-22491ea816e1"
EvalMetrics = "251d5f9e-10c1-4699-ba24-e0ad168fa3e4"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Flux3D = "432009dd-59a1-4b72-8c93-6462ce9b220f"
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
LearnBase = "7f8f8fb0-2700-5f03-b4bd-41f8cfc144b6"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLDataPattern = "9920b226-0b2a-5f5f-9153-9aa70a013f8b"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
Mill = "1d0525e4-8992-11e8-313c-e310e1f6ddea"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
PaddedViews = "5432bcbf-9aad-5242-b902-cca2824c8663"
ParameterSchedulers = "d7d3b36b-41b8-4d0d-a2bf-768c6151755e"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Transformers = "21ca0261-441d-5938-ace7-c90938fde4d4"
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
ValueHistories = "98cad3c8-aec3-5f06-8e41-884608649ab7"
Wandb = "ad70616a-06c9-5745-b1f1-6a5f42545108"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
DrWatson = "2.9.1"
julia = "1.7.2"