chendiand

chendiand's Stars

• SamHaoYuan/EMBSR

  To be continued

  Language:Jupyter Notebook92

• stasi009/Recommend-Estimators

  Classical RecSys algorithms implemented by using TensorFlow Estimators

  Language:Python18474

• lambdaji/tf_repos

  TensorFlow Script

  Language:Python680318

• Hirosora/LightCTR

  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

  Language:Python10227

• 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:Python912276

• wzhe06/Ad-papers

  Papers on Computational Advertising

  Language:Python4.2k1.2k

• frnetnetwork/frnet

  The Source Code of FRNet

  Language:Python418

• reczoo/FuxiCTR

  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

  Language:Python882153

• CRIPAC-DIG/GraphCTR

  This repo includes some graph-based CTR prediction models and other representative baselines.

  Language:Python6414

• ruizhang-ai/SIGN-Detecting-Beneficial-Feature-Interactions-for-Recommender-Systems

  Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021

  Language:Python326

• CVxTz/DeepTabular

  Language:Python3711

• shenweichen/DeepCTR

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

  Language:Python7.5k2.2k

• 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.

  Language:Jupyter Notebook3.5k2.1k

• ShowMeAI-Hub/multi-task-learning

  TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

  Language:Jupyter Notebook17238

• Thinkgamer/Attentive-Group-Recommendation

  Attentive Group Recommendation

  Language:Python92

• 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"】

  Language:Jupyter Notebook768233

• pytorch/opacus

  Training PyTorch models with differential privacy

  Language:Jupyter Notebook1.7k332

• gkaissis/deepee

  Differentially Private Deep Learning in PyTorch

  Language:Python266

• nakaizura/Source-Code-Notebook

  关于一些经典论文源码的逐行中文笔记

  Language:Python576134

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.8k492

• 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

  Language:Jupyter Notebook1.7k381

• Magic-Bubble/RecommendSystemPractice

  《推荐系统实践》代码实现

  Language:Jupyter Notebook681221

• Billy1900/Awesome-Differential-Privacy

  Differential private machine learning

  Language:Python17636

• woodyx218/Deep-Learning-with-GDP-Tensorflow

  Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"

  Language:Python4710

• RUCAIBox/Awesome-RSPapers

  Recommender System Papers

  928142

• ChrisWaites/pyvacy

  Differentially Private Optimization for PyTorch 👁🙅‍♀️

  Language:Python18230

• chengstone/movie_recommender

  MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

  Language:Jupyter Notebook1.2k474

• tensorflow/privacy

  Library for training machine learning models with privacy for training data

  Language:Python1.9k447

• 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

  Language:HTML11

• xkLi-Allen/Awesome-GNN-Research

  My future research

  40456