bytedance / LargeBatchCTRLinks
Large batch training of CTR models based on DeepCTR with CowClip.
☆173Updated 3 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.☆170Updated last year
- Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.☆73Updated 9 months ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆82Updated last year
- 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☆313Updated last year
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆267Updated 3 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆386Updated last year
- ☆68Updated 4 years ago
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆170Updated 3 months ago
- ☆41Updated 5 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆410Updated 7 months ago
- A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.☆83Updated 3 years ago
- Fast Greedy MAP Inference for DPP☆129Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 4 years ago
- A library for end-to-end learning of embedding index and retrieval model☆62Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆121Updated 2 years ago
- An easy-to-use framework for large scale recommendation algorithms.☆336Updated last week
- 「PyTorch」A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors …☆91Updated 3 years ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆28Updated 3 years ago
- Implement Wide & Deep algorithm by using NumPy☆155Updated 7 years ago
- ☆31Updated 2 years ago
- Deep Feedback Network for Recommendation☆96Updated 5 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆342Updated 2 weeks ago
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆227Updated 4 years ago
- 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…☆224Updated 3 weeks ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆207Updated last year
- Accelerating Inference for Recommendation Systems (WSDM'21)☆112Updated 5 years ago
- bigcomputing☆33Updated 5 years ago
- ☆35Updated 3 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆46Updated 2 years ago