Phoenix-Qiu's starred repositories
Paddle-DPIN
飞桨论文复现: Deep Position-wise Interaction Network for CTR Prediction
Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
RES-Interview-Notes
该仓库主要记录 推荐系统 算法工程师相关的面试题
RecSysPapers
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.
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
classifier-calibration
Reliability diagrams, Platt's scaling, isotonic regression
PaddleRec
Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM,DSIN,SIGN,IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM,TiSAS,AutoFIS等,包含经典推荐系统数据集criteo 、movielens等
AITM
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]
query-suggestion
This a query auto-completion system can be used in any searching scenario
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
rec_system
推荐系统,内含主流模型,不定期更新模型
deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
CrossWeigh
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
DeepLearning_LHY21_Notes
深度学习 李宏毅 2021 学习笔记
Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
ChineseNER
A neural network model for Chinese named entity recognition
CLUEDatasetSearch
搜索所有中文NLP数据集,附常用英文NLP数据集
arxiv2018-xling-sentence-embeddings
Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations