RegaVAE
A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
RegaVAE is a model that integrates a Variational Auto-Encoder with a retrieval mechanism to enhance language modeling, using a Gaussian mixture distribution to improve latent space representation.
Good fit when
- When you need to enhance language modeling capabilities by integrating retrieval mechanisms with a Variational Auto-Encoder.
- If your project requires a model that can effectively represent both current and future information in the latent space.
Avoid when
- If your project does not require the integration of retrieval mechanisms with a Variational Auto-Encoder.
- When the datasets you are working with do not align with the specific datasets used in RegaVAE's training (Yelp, Yahoo, WP).
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1017d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install RegaVAESimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
RegaVAE is a model that combines a Variational Auto-Encoder with a retrieval mechanism to enhance language modeling capabilities. It uses a Gaussian mixture distribution to improve the latent space representation.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
python main.py --train_file ../data/yelp/yelp.train.txt \Source link
Tags
README
RegaVAE This is the official repo for our paper: RegaVAE: A Retrieval Augmented Gaussian Mixture Variational Auto Encoder for Language Modeling Model Architecture Architecture of RegaVAE. Based on the training data, we first train a VAE to construct a compact latent space, which...
For agents
This page has a .md twin and JSON over the API.