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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
| Date | Stars |
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| 2026-07-24 | 2309 |
| 2026-07-25 | 2311 |
| 2026-07-28 | 2311 |
| 2026-07-30 | 2311 |
| 2026-08-06 | 2311 |
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   <a href="https://www.bestpractices.dev/projects/13329"><img src="https://www.bestpractices.dev/projects/13329/badge"></a> <p align="center"> <strong>⭐ Leave a star on this project:</strong> One shines alone; together, they make it visible and keep it alive. </p> <p align="center"> 💛 <a href="https://liberapay.com/NeptuneHub/donate">Donate</a> to shape AudioMuse-AI future by supporting AI licenses, homelab infrastructure, and continuous development. </p> # **AudioMuse-AI - Where Music Takes Shape** <p align="center"> <img src="screenshot/AM-AI-MAP.png?raw=true" alt="AudioMuse-AI Logo" width="480"> </p> AudioMuse-AI is an opensource and self-hosted tool that uses sonic analysis to rediscover forgotten songs in your music library and generate groove-aware playlists that also capture the meaning behind each track, without relying on metadata or external APIs. You can run it locally with Docker Compose or Podman, deploy it at scale in a Kubernetes cluster (**AMD64** and **ARM64** supported), or use native applications available for **macOS, Windows, and Linux**. It integrates with major self-hosted music servers including [Navidrome](https://www.navidrome.org/), [Jellyfin](https://jellyfin.org), [LMS](https://github.com/epoupon/lms/tree/master), [Lyrion](https://lyrion.org/), [Emby](https://emby.media), and [Plex](https://www.plex.tv/), with more integrations planned. > **Prefer not to self-host?** [Elestio](https://elest.io/open-source/audiomuse-ai) offers AudioMuse-AI as a managed cloud service, and their [YouTube video](https://www.youtube.com/watch?v=Ow89q6gQ1mM) is a good introduction to the project and its features. AudioMuse-AI lets you explore your music library in innovative ways, just **start with an initial analysis**, and you’ll unlock features like: * **Multiple Music Servers** (from `v3.0.0`): connect several media servers - any mix of Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex - to a **single AudioMuse-AI deployment**. Built-in duplicate detection recognizes the same song across servers, so each track is **analyzed only once** and every server shares the result. * **Clustering**: Automatically groups sonically similar songs, creating genre-defying playlists based on the music's actual sound. * **Instant Playlists**: Simply tell the AI what you want to hear-like "high-tempo, low-energy music" and it will instantly generate a playlist for you. * **Music Map**: Discover your music collection visually with a vibrant, genre-based 2D map. * **Playlist from Similar Songs**: Pick a track you love, and AudioMuse-AI will find all the songs in your library that share its sonic signature, creating a new discovery playlist. * **Song Paths**: Create a seamless listening journey between two songs. AudioMuse-AI finds the perfect tracks to bridge the sonic gap. * **Sonic Fingerprint**: Generates playlists based on your listening habits, finding tracks similar to what you've been playing most often. * **Song Alchemy**: Mix your ideal vibe, mark tracks as "ADD" or "SUBTRACT" to get a curated playlist and a 2D preview. Export the final selection directly to your media server. * **Text Search**: search your song with simple text that can contains mood, instruments and genre like calm piano songs. * **Lyrics Search**: search your library by theme, story or meaning, like love songs, not just the sound. > **Lyrics language support:** the Lyrics Search feature works only with the **72 languages** listed below. > > <details> > <sum
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b54788f25674b294, topic:onnx
matched fp:b54788f25674b294, topic:kubernetes
matched fp:b54788f25674b294, topic:llm