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
☆49Updated last week
Alternatives and similar repositories for two_tower_models:
Users that are interested in two_tower_models are comparing it to the libraries listed below
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆140Updated 7 months ago
- Multiple ways to model user preference in recommender systems☆14Updated 9 months ago
- ☆100Updated 4 months ago
- Curated list of recommnedation system topics☆122Updated 11 months ago
- ☆20Updated 10 months ago
- ☆83Updated 3 years ago
- ☆125Updated last year
- ☆61Updated 5 months ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆269Updated 9 months ago
- ☆47Updated 11 months ago
- Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems☆70Updated 11 months ago
- Solutions to Recommender Systems competitions☆199Updated 2 years ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆91Updated 8 months ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆173Updated 6 months ago
- Official repo for FF19: Session-based Recommender Systems☆41Updated 3 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆51Updated 2 years ago
- SANSA - sparse EASE for millions of items☆40Updated last month
- ☆50Updated 4 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆235Updated last year
- PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.☆140Updated 3 years ago
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆387Updated 3 years ago
- Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch☆35Updated last year
- embarrassingly shallow autoencoder☆67Updated 2 years ago
- implement basic and contextual MAB algorithms for recommendation system☆36Updated 3 years ago
- Behavioral "black-box" testing for recommender systems☆465Updated last year
- Simple but Flexible Recommendation Engine in PyTorch☆132Updated 2 years ago
- ☆44Updated 5 years ago
- Ekstra Bladet Recommender System repository for benchmarking the EBNeRD dataset.☆53Updated last week
- ☆25Updated 3 years ago
- ⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.☆65Updated last year