NVIDIA-Merlin / Transformers4RecLinks
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
☆1,215Updated 3 months ago
Alternatives and similar repositories for Transformers4Rec
Users that are interested in Transformers4Rec are comparing it to the libraries listed below
Sorting:
- Versatile End-to-End Recommender System☆451Updated 2 months ago
- A Comparative Framework for Multimodal Recommender Systems☆993Updated this week
- Pytorch domain library for recommendation systems☆2,355Updated last week
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆389Updated 3 years ago
- NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocess…☆850Updated 10 months ago
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer☆683Updated 5 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Updated last year
- 🛍 A real-world e-commerce dataset for session-based recommender systems research.☆348Updated 4 months ago
- Pytorch implementation of BERT4Rec and Netflix VAE.☆395Updated 2 years ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆289Updated last year
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆609Updated 7 months ago
- Solutions to Recommender Systems competitions☆199Updated 3 years ago
- This is a repository of public data sources for Recommender Systems (RS).☆1,063Updated last year
- SASRec: Self-Attentive Sequential Recommendation☆862Updated 2 years ago
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.☆1,979Updated last week
- Factorization Machine models in PyTorch☆1,081Updated last year
- PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models☆305Updated 2 years ago
- A library of metrics for evaluating recommender systems☆581Updated last year
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,289Updated 3 months ago
- ☆128Updated 2 years ago
- This repository collects debiasing methods for recommendation☆442Updated last year
- Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation☆291Updated last week
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,378Updated last week
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆175Updated last year
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,100Updated 3 weeks ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆381Updated 11 months ago
- ☆348Updated 4 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆263Updated 3 years ago
- pytorch version of neural collaborative filtering☆508Updated last year
- Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems☆167Updated 4 months ago