ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。
☆187Jul 11, 2020Updated 5 years ago
Alternatives and similar repositories for ElasticCTR
Users that are interested in ElasticCTR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SOTA benchmark☆18Aug 8, 2023Updated 2 years ago
- Elastic Deep Learning for deep learning framework on Kubernetes☆176Jul 5, 2023Updated 2 years ago
- 飞桨大模型开发套件，提供大语言模型、跨模态大模型、生物计算大模型等领域的全流程开发工具链。☆477May 24, 2024Updated last year
- ☆17Jan 22, 2025Updated last year
- a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.☆185Mar 29, 2021Updated 4 years ago
- A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）☆923Feb 20, 2026Updated last month
- ☆14Jan 14, 2020Updated 6 years ago
- Easy & Effective Application Framework for PaddlePaddle☆34Jul 4, 2020Updated 5 years ago
- PaddlePaddle Docker images and K8s operators for PaddleOCR/Detection developers to use on public/private cloud.☆302Jul 26, 2022Updated 3 years ago
- Macro Continuous Evaluation Platform for Paddle.☆19Mar 11, 2020Updated 6 years ago
- ☆16Aug 30, 2024Updated last year
- ☆20May 22, 2023Updated 2 years ago
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆333Dec 23, 2025Updated 3 months ago
- Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.☆6,946Jan 15, 2025Updated last year
- Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT,…☆155Jun 6, 2023Updated 2 years ago
- contribution works with PaddlePaddle from the third party developers☆20Nov 30, 2022Updated 3 years ago
- ☆157Jan 7, 2020Updated 6 years ago
- PAddle PARAllel text-to-speech toolKIT (supporting Tacotron2, Transformer TTS, FastSpeech2/FastPitch, SpeedySpeech, WaveFlow and Paralle…☆618Nov 19, 2021Updated 4 years ago
- Federated Deep Learning in PaddlePaddle☆516Jul 26, 2023Updated 2 years ago
- Kubernetes-native Deep Learning Framework☆744Jan 26, 2024Updated 2 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,053Mar 12, 2026Updated last week
- extractor chinese synonyms in large corpus☆11Jul 20, 2016Updated 9 years ago
- Documentations for PaddlePaddle☆282Mar 17, 2026Updated last week
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,416Apr 26, 2025Updated 10 months ago
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,784Oct 13, 2025Updated 5 months ago
- An experimental project for paddle python IR.☆15Dec 4, 2023Updated 2 years ago
- Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…☆671Jun 17, 2019Updated 6 years ago
- hapi is a High-level API that supports both static and dynamic execution modes☆75Oct 22, 2022Updated 3 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,007Aug 9, 2024Updated last year
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- Joint Optimization of Cascade Ranking Models (WSDM 19)☆13Jun 21, 2022Updated 3 years ago
- Fault-tolerant for DL frameworks☆70Jul 5, 2023Updated 2 years ago
- 同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）☆25Dec 8, 2022Updated 3 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆207Mar 15, 2024Updated 2 years ago
- Implementaion of the WWW paper Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads☆17Apr 27, 2022Updated 3 years ago
- ☆15Sep 28, 2020Updated 5 years ago
- 这是居于 derby 源代码，通过删减的方式，从里面抽取出sql解析功能。并在此基础上开发出跨库连接查询器。通过该工具可以将连接查询分割成多个单表查询，再将单表结果集进行连接，即将数据库的连接功能上移到工具执行。详情可以查看wiki：readme☆10Feb 14, 2017Updated 9 years ago
- PaddlePaddle TestSuite☆48Mar 13, 2026Updated last week
- Embedded and Mobile Deployment☆73May 2, 2018Updated 7 years ago