RQ-VAE-Recommender

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

EdoardoBotta/RQ-VAE-Recommender

View on GitHub ↗

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

RQ-VAE-Recommender grew +0.1% in the last 30 days, ranks 1063rd of 4,484 in Tools & Integrations, last commit 54 days ago.

Star trajectory

126 days tracked
2026-06-20850 stars today2026-10-25
Momentum

+0.1% in 30d, below the Tools & Integrations median of +1.7%.

Maintenance

Last commit 54 days ago, staler than the median of 13d.

How it compares in Tools & Integrations

RQ-VAE-Recommender
850
stars
+0.1% 30d
commit 54 days ago
Tools & Integrations median
301.5
stars
+1.7% 30d
commit ~13d ago
Leader · rea
379.8k
stars
+91425.1% 30d
commit today

Ranked 1063rd of 4,484 by stars.

Language
Python
License
MIT License
Contributors
24
Forks
127
Watchers
3
Open issues
41
Releases
3
Created
2024-06-17
Stars this week
+0

You've seen where RQ-VAE-Recommender stands today.

Get the moves before everyone else: the 5 Tools & Integrations repos climbing fastest, every Tuesday.

Free weekly digest. Double opt-in, unsubscribe anytime.

Maintain RQ-VAE-Recommender?

Claim this page to add your own call-to-action.

Claim this page