search

RetroCirce / Zero_Shot_Audio_Source_Separation

The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
https://arxiv.org/abs/2112.07891
MIT License
184 stars 31 forks source link

Add Docker environment & web demo #18

Closed ariel415el closed 2 years ago

ariel415el commented 2 years ago

Hey @RetroCirce ! 👋

This pull request makes it possible to run your model inside a Docker environment, which makes it easier for other people to run it. We're using an open source tool called Cog to make this process easier.

This also means we can make a web page where other people can try out your model! View it here: https://replicate.com/retrocirce/zero_shot_audio_source_separation and have a look at some on-the-wild source separation examples we already uploaded.

By clicking "Claim this model" You'll be able to edit it, and we'll feature it on our website and tweet about it too.

In case you're wondering who I am, I'm from Replicate, where we're trying to make machine learning reproducible. We got frustrated that we couldn't run all the really interesting ML work being done. So, we're going round implementing models we like. 😊

RetroCirce commented 2 years ago

Hi! That’s an fantastic interactive implementation on my model and thank you for your kind work! I have merged this request.

ariel415el commented 2 years ago

Great! You can now edit the model, add your own favorit examples, edit the Readme and more.

Also by claiming the model you now have beta access to Replicate and can push more models. See docs If you'r interested.

You can have a look at other demos and learn about Cog and Replicate at https://replicate.com/