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[DEPRECATED] Compilation of pre-trained deep learning models with demos and code.
| Date | Stars |
|---|---|
| 2026-07-31 | 358 |
| 2026-08-02 | 358 |
| 2026-08-06 | 358 |
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# [DEPRECATED] pretrained.ml
[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)](https://modeldepot.io) or on [modelzoo.co](http://modelzoo.co)
## A word of warning
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)
## About
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
## Installation
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
## Useful commands
docker ps #list images
docker attach [container_id] #attach a shell to specific image
## Contributing
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
## Todos
- [ ] Use nvidia-docker ?
- [ ] Add flag to compile Tensorflow
- [ ] Consider splitting each model in a different container ?
- [ ] Linter
- [ ] Add analytics
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a26110ae2ca50a1a, llm:Description: "[DEPRECATED] Compilation of pre-trained deep learning models with demos and code." (repository description)
matched fp:a26110ae2ca50a1a, llm:Description: "[DEPRECATED] Compilation of pre-trained deep learning models with demos and code." (repository description)