9thhh's starred repositories
introduce_c-cpp_manual
一个收集C/C++新手学习的入门项目，整理收纳开发者开源的小项目、工具、框架、游戏等，视频，书籍，面试题/算法题，技术文章。
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Face-X-Ray
Unofficial implementation of paper 'Face X-ray for More General Face Forgery Detection'. (updating...)
DeepFaceForgeryDetection
Code repository for TUM Course in Advanced Deep Learning for Computer Vision
Awesome-Face-Forgery-Generation-and-Detection
A curated list of articles and codes related to face forgery generation and detection.
Awesome-Deepfakes-Detection
A list of tools, papers and code related to Deepfake Detection.
ncov_sentiment_recognition
疫情期间网民情绪识别比赛分享+top1~3解决方案
Edge-Intelligence
随着移动云计算和边缘计算的快速发展，以及人工智能的广泛应用，产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中，但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算，例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂，并且可能导致模型精度的下降。在移动云计算或边缘计算中，任务卸载技术可以突破移动终端的资源限制，减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**，将深度神经网络进行分区，一部分层在移动端计算，而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区，降低时延以及能耗。本项目给出了边缘智能方面的相关论文，并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词：边缘智能(Edge Intelligence)，计算卸载(Computing Offloading)，CNN模型分区(CNN Partition)，协同推断(Collaborative Inference)，移动云计算(Mobile Cloud Computing)
edgecomputing-RL
边缘计算能耗最小化仿真
fed_learning
带加密的联邦学习，学习+练手的小作品
federatedLearning-DP-my
联邦学习分布式训练MNist数据集
FederalLearning
通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from Non-IID Data两篇论文，复现FedAvg与STC算法，完成LSTM模型+ Shakespeare数据集的字符预测任务
air_quality_time_series_analysis
Repo for the data science time series prediction of the air quality in Beijing, China
Air-Quality-Prediction-In-Beijing
This project applies machine learning techniques to perform temporal analysis on air quality datasets for Beijing. #python #pandas #LSTM #Feature Engineering #BiLSTM #GRU #SimpleModels
Beijing-air-quality-prediction-internship
This project has applied Machine Learning and Deep Learning techniques to analyse and predict the Air Quality in Beijing.
Beijing-Multi-Site-Air-Quality-Data-Data-Set
The present project aims to predict air pollution in Beijing, China, using the data set "Beijing Multi-Site Air-Quality Data Data Set"
Air-Quality-Prediction
2021年研究生数学建模竞赛B题，全国二等奖，空气质量预报二次建模，时间序列数据分析与回归预测。Time Series Prediction&Air Quality Prediction.
Time-series-forecasting-of-Air-Quality-Prediction
AQI Prediction using LSTM, MLR, SVR, Random Forest, Gradient Boosting
Air-Pollution-Prediction-and-Forecasting
:octocat: Detection and Prediction of Air quality Index :octocat:
kdd2018_air_pollution_prediction
KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning
air-quality-prediction
Repository of KDD Cup, 2018.
intro-mathmodel
《数学建模导论》教程，全网最全数学建模模型与算法教程系列，带你走进数学建模的大门！
Introduction-NLP
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.