mmnnlight

mmnnlight's Stars

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.6k2.2k

• shenweichen/DeepMatch

  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

  Language:Python2.2k533

• mJackie/RecSys

  计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

  2k437

• Pysamlam/Tips-of-Feature-engineering

  A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

  673174

• Pysamlam/Machine-Learning-Knowledge

  🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge

  11825

• jackzhenguo/python-small-examples

  告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

  Language:Python8k1.8k

• nju-websoft/GREASE

  GREASE: A Generative Model for Relevance Search over Knowledge Graphs (WSDM 2020)

  Language:Java41

• olesls/master_thesis

  Code and other stuff for my master thesis

  Language:Python179

• wenjiepei/IARN

  Implementation for Interacting Attention-gated Recurrent Networks (IARN)

  Language:Lua82

• AaronHeee/Neural-Attentive-Item-Similarity-Model

  TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

  Language:Python14948

• ZJULearning/time_lstm

  Language:Python15261

• ami66/nlp-competitions-list-review

  复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

  4718

• Lapis-Hong/wide_deep

  Wide and Deep Learning for CTR Prediction in tensorflow

  Language:Python290135

• ameyxd/aml-project-cnarm

  CNARM

  Language:Python1

• uestcnlp/STAMP

  Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

  Language:Python13943

• wmeirui/CSRM_SIGIR2019

  A Collaborative Session-based Recommendation Approach with Parallel Memory Modules, SIGIR 2019

  Language:Python2813

• rasbt/matplotlib-gallery

  Examples of matplotlib codes and plots

  Language:Jupyter Notebook1.2k303

• srtianxia/BDC2019_Top2

  2019**高校大数据挑战赛-第二名解决方案

  Language:Jupyter Notebook7820

• finlay-liu/kaggle_public

  阿水的数据竞赛开源分支

  Language:Jupyter Notebook350111

• CRIPAC-DIG/SR-GNN

  [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

  Language:Python822270

• lijingsdu/sessionRec_NARM

  Language:Python13153

• PaddlePaddle/models

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

  Language:Python6.9k2.9k

• chenghu17/Sequential_Recommendation

  Language:Python10036

• wengou/hlg_life

  3

• leo4678/leo4678.github.io

  Language:JavaScript22

• YuyangZhangFTD/awesome-RecSys-papers

  The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

  798186

• mquad/hgru4rec

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

  Language:Python21571

• 0411tony/Yue

  A python library for music recommendation

  Language:Python9721

• kwonmha/Improving-RNN-recommendation-model

  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.

  Language:Python5313

• Ian09/CF-NADE

  A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

  Language:Python7944