tiananan

tiananan's Stars

• Jesse-csj/TensorFlow_Practice

  推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

  Language:Python283101

• chuxiaoyi2018/WBDC2021-semi

  微信大数据挑战赛2021

  Language:Python112

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k3.3k

• zhougr1993/DeepInterestNetwork

  Language:Python1.6k558

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook13.2k2.9k

• qiaoguan/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)

  Language:Python915276

• Lapis-Hong/wide_deep

  Wide and Deep Learning for CTR Prediction in tensorflow

  Language:Python290134

• jjqqkk/chromium

  Chromium browser with SSL VPN. Use this browser to unblock websites.

  4k

• lujiaying/MovieTaster-Open

  A practical movie recommend project based on Item2vec.

  Language:Python28091

• hongleizhang/RSPapers

  A Curated List of Must-read Papers on Recommender System.

  6.1k1.3k

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.1k11.4k

• yangxuanxc/wechat_friends

  微信好友信息分析并可视化以及自动回复微信消息

  Language:Python1.2k332

• AlexanLee/ALI-IJCAI-AD

  ALI-IJCAI-AD

  Language:Python1810

• jangmino/HGRU4Rec

  Session based Recommendation, RecSys, TensorFlow

  Language:Python226

• taoshen58/BiBloSA

  Bi-Directional Block Self-Attention

  Language:Python12427

• tobegit3hub/tensorflow_template_application

  TensorFlow template application for deep learning

  Language:Python1.9k715

• Songweiping/GRU4Rec_TensorFlow

  TensorFlow implemenation of GRu4Rec model

  Language:Python21590

• lijingsdu/sessionRec_NARM

  Language:Python13053

• mquad/hgru4rec

  Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

  Language:Python21471

• hidasib/GRU4Rec

  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

  Language:Python754223

• gatieme/CodingInterviews

  剑指Offer——名企面试官精讲典型编程题

  Language:C++4.8k1.1k