gauravchak / two_tower_models
We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top
☆53Updated last month
Alternatives and similar repositories for two_tower_models:
Users that are interested in two_tower_models are comparing it to the libraries listed below
- Multiple ways to model user preference in recommender systems☆14Updated 10 months ago
- ☆101Updated 5 months ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆141Updated 8 months ago
- Solutions to Recommender Systems competitions☆200Updated 2 years ago
- ☆83Updated 3 years ago
- Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems☆70Updated 11 months ago
- ☆48Updated last year
- ☆125Updated last year
- Official repo for FF19: Session-based Recommender Systems☆41Updated 3 years ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆91Updated 9 months ago
- [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender☆137Updated 5 months ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆270Updated 10 months ago
- Curated list of recommnedation system topics☆123Updated 11 months ago
- ☆20Updated 11 months ago
- A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms☆55Updated 4 months ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆386Updated 3 years ago
- ☆61Updated 6 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆235Updated last year
- ☆44Updated 5 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆52Updated 2 years ago
- Extra product metadata for the Amazon ESCI dataset☆42Updated 2 years ago
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆165Updated last week
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆175Updated 7 months ago
- ☆345Updated 3 years ago
- implement basic and contextual MAB algorithms for recommendation system☆36Updated 3 years ago
- Versatile End-to-End Recommender System☆410Updated 2 months ago
- Simple but Flexible Recommendation Engine in PyTorch☆132Updated 2 years ago
- SANSA - sparse EASE for millions of items☆40Updated 2 months ago
- embarrassingly shallow autoencoder☆68Updated 2 years ago
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆142Updated 3 years ago