facebookresearch / dlrmLinks
An implementation of a deep learning recommendation model (DLRM)
☆3,968Updated 3 weeks ago
Alternatives and similar repositories for dlrm
Users that are interested in dlrm are comparing it to the libraries listed below
Sorting:
- Learning to Rank in TensorFlow☆2,781Updated last year
- Pytorch domain library for recommendation systems☆2,351Updated this week
- Deep recommender models using PyTorch.☆3,028Updated 2 years ago
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.☆1,980Updated this week
- Deep learning for recommender systems☆1,696Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,413Updated last year
- An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.☆1,163Updated 3 years ago
- This repository contains Deep Learning based articles , paper and repositories for Recommender Systems☆2,855Updated 5 years ago
- This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural …☆985Updated 2 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,035Updated 2 weeks ago
- ☆1,136Updated 5 years ago
- Neural Collaborative Filtering☆1,861Updated 3 years ago
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,214Updated 3 months ago
- Learning embeddings for classification, retrieval and ranking.☆3,958Updated 2 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆7,912Updated last year
- A TensorFlow recommendation algorithm and framework in Python.☆1,293Updated 2 years ago
- Library for factorization machines☆1,494Updated 5 years ago
- A high performance and generic framework for distributed DNN training☆3,706Updated last year
- Tensorflow implementation of DeepFM for CTR prediction.☆2,058Updated 7 years ago
- Next RecSys Library☆1,059Updated 2 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,380Updated 5 months ago
- Mesh TensorFlow: Model Parallelism Made Easier☆1,615Updated last year
- A distributed graph deep learning framework.☆2,900Updated 2 years ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,099Updated 2 weeks ago
- Fast Python Collaborative Filtering for Implicit Feedback Datasets☆3,711Updated last year
- Factorization Machine models in PyTorch☆1,081Updated last year
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,289Updated last year
- NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocess…☆850Updated 9 months ago
- Reference implementations of MLPerf® training benchmarks☆1,715Updated last week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,598Updated last week