come-come

come-come's Stars

• MenghaoGuo/Awesome-Vision-Attentions

  Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

  Language:Python2.7k408

• nosuggest/Reflection_Summary

  算法理论基础知识应知应会

  2.5k510

• nzc/dnn_ctr

  The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

  Language:Python756283

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.8k492

• isthegoal/recommendation_model_master

  自己学习推荐系统过程中用到的代码

  Language:Jupyter Notebook4933

• alvin-le/realtime-look-alike

  realtime attention based look alike

  Language:Python52

• Junqi-Zhang/AETN

  The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

  Language:Python3321

• zsyandjyhouse/TencentAD_contest

  第一届腾讯社交广告算法大赛

  Language:Python4121

• PaddlePaddle/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

  Language:Python4.2k721

• PaddlePaddle/models

  Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

  Language:Python6.9k2.9k

• uclwe/rtb

  Bid optimisation methods for real-time bidding in online display advertising.

  Language:Jupyter Notebook137

• blogchong/data_and_advertisement

  【数据虫巢】公众号《数据与广告》系列对应机器学习实例。

  Language:Jupyter Notebook2911

• bubbliiiing/mask-recognize

  这是一个简单的人工智障识别口罩佩戴的库

  Language:Python14245

• hcl14/my_simple_LSTM

  Language:Python2

• nosuggest/deep_learning

  基础的深度学习实验研究结果汇总笔记

  Language:Python502259

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala39.3k28.2k

• ilivans/tf-rnn-attention

  Tensorflow implementation of attention mechanism for text classification tasks.

  Language:Python748290

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.1k2k

• Songbo729066989/tencent_ad_ffm_baseline

  Language:Python3115

• liupengsay/DataScience

  数据科学竞赛实战

  Language:Jupyter Notebook16276

• guoday/Tencent2018_Lookalike_Rank7th

  The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.

  Language:Python307106

• duboya/ML_Interview

  Persional Computational Advertising & Machine Learning Interview materials

  Language:C++8

• wepe/O2O-Coupon-Usage-Forecast

  1st Place Solution for O2O Coupon Usage Forecast

  Language:Python1.4k845

• 03pie/SMPCUP2017

  CSDN用户画像技术评测

  Language:Python2712

• chrislinan/cx-extractor-python

  基于行块分布函数的通用网页正文抽取算法的Python版本实现，添加了英文支持/ Web page content extraction algorithm, support both Chinese and English

  Language:HTML482112

• fuqiuai/learning_notes

  一些个人学习笔记

  Language:Python6144

• brightmart/nlp_chinese_corpus

  大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

  9.4k1.5k

• deepcs233/jieba_fast

  Use C Api and Swig to Speed up jieba 高效的中文分词库

  Language:Python63175

• graykode/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook14.1k3.9k

• xiaoyichao/-python-gensim-LDA-

  基于python gensim 库的LDA算法 对中文进行文本分析，很难得，网上都是英文的，基本上没有中文的，需要安装jieba分词进行分词，然后去除停用词最后才能使用LDA

  Language:Python13140