[DEPRECATED] Sortable and searchable compilation of pre-trained deep learning models. With demos and code.

DEPRECATED: You can find an alternative on modeldepot.io (with live demos) or on modelzoo.co

This is running on a server without GPU, hence it seems slow.

Also, the code may look a bit like monkey-patching for the following reasons:

• Models are cloned as submodules: therefore we have to mess around with the python path :-(
• There is a queuing systems for the jobs (allows user to see their job's position in the queue)

Having spent too much time installing deep learning models just to evaluate their performance, I created this repo for several reasons:

• Access a free demo of deep learning models
• Gather available deep learning models
• Get a docker container running the model for a quick install

Requirements: Docker, docker-compose and enough space free for the model weights.

git clone https://github.com/EliotAndres/pretrained.ml --recursive
cd containers
docker-compose build
docker-compose up -d

docker ps #list images
docker attach [container_id] #attach a shell to specific image

Many models are missing. Any help is welcome ! You have two options to contribute.

Easy way: Add a model to the list without a demo:

• Fork the repo
• Edit the docs/models.yaml file (you can even edit it with Github's editor)
• Make a pull request

Other way: add a model with a demo:

• Fork the repo
• Add the model inside one of the docker containers
• Create a route in the serve.py file
• Add a demo calling the route
• Make a pull request

• Use nvidia-docker ?
• Add flag to compile Tensorflow
• Consider splitting each model in a different container ?
• Linter
• Add analytics