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gdstudio-org / Embeat

Item-to-item music recommendation system, training on Spotify 45M tracks & 1.8M playlists. (Spotify track ID / ISRC in, similar songs out)

Why this job: works in the areas we cover, but does not say which job it does

Embeat Banner

What it does

  • In-house models. EmbeatMLP encodes Spotify Audio Features (key, tempo, energy, mood, etc.) into 64-dimensional acoustic vectors, responsible for "sounding like"; Track2Vec learns co-occurrence patterns from millions of playlists, responsibl
  • Genre-aware. 6,291 micro-genre tags covering over 2 million artists are deeply integrated into the recommendation system, ensuring exceptionally stable performance for niche songs
  • Blind-evaluated. Compared to Netease Cloud Music, it leads by a wide margin with an 84~95% win rate across 157 cross-language samples
  • Multi-channel recall. 5 recall channels (Acoustic Similarity / Same-Genre Popular / Same Artist / Similar Artists / Playlist Collaborative Filtering), merged and scored for final output
  • Flexible lookup. Supports retrieving seed tracks via Spotify track ID, ISRC, track title + artist name, or artist name alone

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 49 days ago
Stars
509
+29 this week
Licence
Custom
Read before business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
100% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
100% closed
0 still open
Pull requests
0 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • contrastive-learning
  • music-recommendation
  • spotify
  • collaborative-filtering
  • content-based-recommendation
  • gdmusic
  • hnsw
  • machine-learning
  • music-recommendation-system
  • music-recommender

Project record

  • JobOther AI tools
  • StatusListed
  • Commits31
  • Forks51
  • Watching1
  • Stars in 28 days+98
  • CreatedJun 26, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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