bytedance / LargeBatchCTRLinks
Large batch training of CTR models based on DeepCTR with CowClip.
☆169Updated 2 years ago
Alternatives and similar repositories for LargeBatchCTR
Users that are interested in LargeBatchCTR are comparing it to the libraries listed below
Sorting:
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆163Updated 4 months ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆375Updated 6 months 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…☆250Updated 3 years ago
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆158Updated last year
- An easy-to-use framework for large scale recommendation algorithms.☆161Updated this week
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆112Updated last year
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆61Updated 5 months ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆168Updated 2 years ago
- Implement Wide & Deep algorithm by using NumPy☆154Updated 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
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆316Updated 2 years ago
- ☆289Updated 5 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆204Updated last year
- 在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowl…☆130Updated 2 weeks ago
- ☆63Updated 4 years ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆217Updated 3 years ago
- Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations☆56Updated 4 months ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆294Updated 3 years ago
- Deep Interest Network for Click-Through Rate Prediction / Deep Interest Evolution Network for Click-Through Rate Prediction☆80Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆70Updated last month
- A collection of research and application papers of (uncertainty) calibration techniques.☆328Updated last year
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Updated 5 years ago
- Deep Feedback Network for Recommendation☆94Updated 4 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆257Updated 5 years ago
- ☆40Updated 4 years ago
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 4 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place☆191Updated 4 years ago
- ☆172Updated 4 years ago
- CTR模型代码和学习笔记总结☆388Updated 3 years ago