Pinned Repositories
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
论文-Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
bert
TensorFlow code and pre-trained models for BERT
CP-ABE
基于访问树构造的属性基加密
CRSLab
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
deep-learning
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
EmbeddedSoftwareEngineerInterview
嵌入式软件工程师笔试面试指南，主要收录笔试面试八股文。包括C/C++，计算机基础，操作系统，Linux驱动，Arm体系与架构，网络编程，大厂笔试面试题等。持续更新中~~有问题可以加我微信，LinuxDriverDev
FL-bench
Benchmark of federated learning. Dedicated to the community. 🤗联邦学习
GAN-RNN_Timeseries-imputation
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.-课题三，数据补全
Niu-Shuo's Repositories
Niu-Shuo/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
论文-Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Niu-Shuo/bert
TensorFlow code and pre-trained models for BERT
Niu-Shuo/CP-ABE
基于访问树构造的属性基加密
Niu-Shuo/CRSLab
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Niu-Shuo/deep-learning
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
Niu-Shuo/Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
Niu-Shuo/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Niu-Shuo/EmbeddedSoftwareEngineerInterview
嵌入式软件工程师笔试面试指南，主要收录笔试面试八股文。包括C/C++，计算机基础，操作系统，Linux驱动，Arm体系与架构，网络编程，大厂笔试面试题等。持续更新中~~有问题可以加我微信，LinuxDriverDev
Niu-Shuo/FL-bench
Benchmark of federated learning. Dedicated to the community. 🤗联邦学习
Niu-Shuo/GAN-RNN_Timeseries-imputation
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.-课题三，数据补全
Niu-Shuo/LeetcodeTop
Niu-Shuo/LeNet-5
PyTorch implementation of LeNet-5 with live visualization
Niu-Shuo/log-anomaly-detector
Log Anomaly Detection - Machine learning to detect abnormal events logs-课题二
Niu-Shuo/loglizer
A log analysis toolkit for automated anomaly detection [ISSRE'16]-课题二
Niu-Shuo/Millan-Data-Imputation-And-Forecasting
Mobile Network Traffic Forcasting using Milan's Telefonica mobile network data-课题三
Niu-Shuo/Mobihoc-18-STN-mobile-traffic-forecasting
This repository implements the model in MobiHoc'18: "Long-term mobile traffic forecasting using deep spatio-temporal neural networks"-课题三，移动流量预测
Niu-Shuo/niushuo
Niu-Shuo/nRPC
基于reactor和protobuf的RPC脚手架
Niu-Shuo/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Niu-Shuo/Shuffled-Model-of-Differential-Privacy-in-Federated-Learning
Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.
Niu-Shuo/Spatio-Temporal-mobile-traffic-forecasting
Mobile Traffic Prediction using Deep Learning models-课题三，整个城市预测
Niu-Shuo/Split-Learning-and-Federated-Learning
Investigating Split Learning and Federate Learning
Niu-Shuo/thread_pool
C++实现线程池
Niu-Shuo/tienchin
完整人力资源
Niu-Shuo/web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈-课题三