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Merge pull request FluxML#173 from dhairyagandhi96/unifyenv
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Move to a unified environment and update to Flux @0.9
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DhairyaLGandhi authored Dec 2, 2019
2 parents 076472c + 250d631 commit 53a5287
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918 changes: 918 additions & 0 deletions Manifest.toml

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20 changes: 20 additions & 0 deletions Project.toml
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[deps]
AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
Cascadia = "54eefc05-d75b-58de-a785-1a3403f0919f"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Gumbo = "708ec375-b3d6-5a57-a7ce-8257bf98657a"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
Juno = "e5e0dc1b-0480-54bc-9374-aad01c23163d"
Metalhead = "dbeba491-748d-5e0e-a39e-b530a07fa0cc"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Trebuchet = "98b73d46-197d-11e9-11eb-69a6ff759d3a"
Unicode = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
WAV = "8149f6b0-98f6-5db9-b78f-408fbbb8ef88"
9 changes: 2 additions & 7 deletions README.md
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Expand Up @@ -6,20 +6,15 @@ The models are broadly categorised into the folders [vision](/vision) (e.g. larg

## Usage

Each folder is its own [Julia project](https://julialang.github.io/Pkg.jl/latest/#Using-someone-else's-project-1), which lists the packages you need to run the models. You can run the models by opening Julia in the project folder and running
The zoo comes with its own [Julia project](https://julialang.github.io/Pkg.jl/latest/#Using-someone-else's-project-1), which lists the packages you need to run the models. You can run the models by opening Julia in the project folder and running

```
using Pkg; Pkg.activate("."); Pkg.instantiate()
```

to install all needed packages. Then you can run the model code with `include("script.jl")` or by running the script line-by-line. More details are available in the README for each model.

Models with a `cuda` folder can be loaded with NVIDIA GPU support, if you have a CUDA installed.

```julia
using Pkg; Pkg.activate("cuda"); Pkg.instantiate()
using CuArrays
```
Models may also be run with NVIDIA GPU support, if you have a CUDA installed. Most models will have this capability by default, pointed at by calls to `gpu` in the model code.

### Gitpod Online IDE

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# Model Contributions

The models here have been contributed by community members to display some of the models that can be used in different fields.

These models come with their own environments (the Project.toml and Manifest.toml files) so please make sure to use them while working with these models.
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