DeepRec-AI / DeepRecLinks
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
☆1,101Updated 4 months ago
Alternatives and similar repositories for DeepRec
Users that are interested in DeepRec are comparing it to the libraries listed below
Sorting:
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,004Updated 2 months ago
- A framework for large scale recommendation algorithms.☆2,014Updated last week
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆1,077Updated last week
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆327Updated this week
- ☆1,169Updated 6 years ago
- embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等☆309Updated last year
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆158Updated last year
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆163Updated 4 months ago
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,166Updated 2 months ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆924Updated 5 years ago
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆906Updated 3 years ago
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆1,011Updated last year
- ☆1,673Updated 4 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,338Updated last month
- An easy-to-use framework for large scale recommendation algorithms.☆161Updated this week
- CTR模型代码和学习笔记总结☆388Updated 3 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆407Updated last week
- TensorFlow Script☆684Updated last year
- ☆746Updated 5 years ago
- Recommender Learning with Tensorflow2.x☆1,939Updated 3 years ago
- Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.☆617Updated 2 months ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆169Updated 2 years ago
- Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR…☆1,650Updated 2 weeks ago
- deepx_core是一个专注于张量计算/深度学习的基础库☆376Updated last month
- CTR prediction model based on spark(LR, GBDT, DNN)☆914Updated 5 years ago
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆365Updated 7 months ago
- 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.☆1,769Updated this week
- ☆36Updated 3 years ago
- A lightweight parameter server interface☆1,548Updated 2 years ago
- Pytorch domain library for recommendation systems☆2,212Updated this week