chendiand's Stars
SamHaoYuan/EMBSR
To be continued
stasi009/Recommend-Estimators
Classical RecSys algorithms implemented by using TensorFlow Estimators
lambdaji/tf_repos
TensorFlow Script
Hirosora/LightCTR
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
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)
wzhe06/Ad-papers
Papers on Computational Advertising
frnetnetwork/frnet
The Source Code of FRNet
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
CRIPAC-DIG/GraphCTR
This repo includes some graph-based CTR prediction models and other representative baselines.
ruizhang-ai/SIGN-Detecting-Beneficial-Feature-Interactions-for-Recommender-Systems
Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021
CVxTz/DeepTabular
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
NELSONZHAO/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
ShowMeAI-Hub/multi-task-learning
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
Thinkgamer/Attentive-Group-Recommendation
Attentive Group Recommendation
aialgorithm/Blog
Python机器学习算法技术博客,有原创干货!有code实践! 【更多内容敬请关注公众号 "算法进阶"】
pytorch/opacus
Training PyTorch models with differential privacy
gkaissis/deepee
Differentially Private Deep Learning in PyTorch
nakaizura/Source-Code-Notebook
关于一些经典论文源码的逐行中文笔记
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
Magic-Bubble/RecommendSystemPractice
《推荐系统实践》代码实现
Billy1900/Awesome-Differential-Privacy
Differential private machine learning
woodyx218/Deep-Learning-with-GDP-Tensorflow
Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
RUCAIBox/Awesome-RSPapers
Recommender System Papers
ChrisWaites/pyvacy
Differentially Private Optimization for PyTorch 👁🙅♀️
chengstone/movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
tensorflow/privacy
Library for training machine learning models with privacy for training data
forestneo/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
xkLi-Allen/Awesome-GNN-Research
My future research