NVIDIA-Merlin / Transformers4RecLinks
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
☆1,239Updated last month
Alternatives and similar repositories for Transformers4Rec
Users that are interested in Transformers4Rec are comparing it to the libraries listed below
Sorting:
- A Comparative Framework for Multimodal Recommender Systems☆1,016Updated last month
- NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocess…☆870Updated last year
- Versatile End-to-End Recommender System☆464Updated 6 months ago
- Pytorch domain library for recommendation systems☆2,452Updated last week
- Merlin Models is a collection of deep learning recommender system model reference implementations☆294Updated last year
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆390Updated 4 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Updated last year
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer☆706Updated 5 years ago
- 🛍 A real-world e-commerce dataset for session-based recommender systems research.☆368Updated 8 months ago
- Solutions to Recommender Systems competitions☆200Updated 3 years ago
- Pytorch implementation of BERT4Rec and Netflix VAE.☆408Updated 2 years ago
- Factorization Machine models in PyTorch☆1,088Updated last year
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.☆1,993Updated last week
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆631Updated 10 months ago
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆310Updated 3 years ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,135Updated 2 months ago
- SASRec: Self-Attentive Sequential Recommendation☆930Updated 2 years ago
- ☆130Updated 2 years ago
- ☆350Updated 4 years ago
- A library of metrics for evaluating recommender systems☆582Updated 2 years ago
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆295Updated this week
- This is a repository of public data sources for Recommender Systems (RS).☆1,148Updated last year
- This repository collects debiasing methods for recommendation☆450Updated last year
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,348Updated 7 months ago
- pytorch version of neural collaborative filtering☆511Updated last year
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆174Updated last year
- A curated list of Generative Recommender Systems (Paper & Code)☆454Updated last year
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆387Updated last year
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,395Updated 3 months ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago