niu-shuo Goto Github PK

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

leetcodetop

lenet-5

PyTorch implementation of LeNet-5 with live visualization

log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs-课题二

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]-课题二

millan-data-imputation-and-forecasting

Mobile Network Traffic Forcasting using Milan's Telefonica mobile network data-课题三

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

niushuo

nrpc

基于reactor和protobuf的RPC脚手架

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

shuffled-model-of-differential-privacy-in-federated-learning

Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.

spatio-temporal-mobile-traffic-forecasting

Mobile Traffic Prediction using Deep Learning models-课题三，整个城市预测

split-learning-and-federated-learning

Investigating Split Learning and Federate Learning

thread_pool

C++实现线程池

tienchin

完整人力资源

web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈-课题三