The goal is to learn about Kaggle and Machine Learning.
Resources:
- Getting started
- Competitions:
- Tutorials
Open for suggestions.
Looking for hackers with the skills:
This project is part of:
Hack Week 17
Activity
Comments
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over 3 years ago by ddemaio | Reply
The Tutorials link was deleted. An alternative could be the Free Python Tutorial link.
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Description
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Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:
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References
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Song Search with CLAP by gcolangiuli
Description
Contrastive Language-Audio Pretraining (CLAP) is an open-source library that enables the training of a neural network on both Audio and Text descriptions, making it possible to search for Audio using a Text input. Several pre-trained models for song search are already available on huggingface
Goals
Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:
- Music Tagging;
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- Integration with an LLM (for example, with MCP or the OpenAI API) for music suggestions based on your own library.
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Result
In this MVP we implemented:
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You can have a look at the result here:
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- huggingface: Pre-trained models for CLAP;
- Free Music Archive: Creative Commons songs that can be used for testing;
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Code and data