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监控视角下车辆检测和测速

2019-ncov

This repo holds the code for crawling the latest news on the pneumonia virus from the Internet

2019-ncov-3d

新型冠状病毒疫情数据三维可视化

adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

ai_city_2020

iTASK - Intelligent Traffic Analysis Software Kit

ai_projects

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

animalai-olympics

Code repository for the Animal AI Olympics competition

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

cascade-rcnn_pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

chenxif

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-2019-ncov-infection-data-cleaning-

针对新冠病毒疫情数据的清洗脚本和清洗后的数据，数据源使用 https://github.com/BlankerL/DXY-COVID-19-Data 的每日抓取数据

covid-19-visualization

2019新型冠状病毒疫情可视化。COVID-2019(原NCOV)，武汉(WuHan)疫情、全国疫情地图及时间轴变化，各省市地图及疫情曲线。疫情数据分析系统，疫情小区可视化，COVID-2019 Data Visualization Analysis System (前端+后端+数据清洗)

covid-19_latinoamerica

Daily report of cases confirmed per country in Latin America by DSRP and volunteers that we appreciate. Also we're incorporating new variables (health infraestructure, weather, economic).

darknet

Convolutional Neural Networks

data

Novel Coronavirus SARS-CoV-2 (2019-nCoV) Italian Outbreak Data Repository

datasets

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

dxy-covid-19-data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

face-recognition_facenet_pytorch

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

identify_the_animal

1st place solution of Deep Learning Beginner Challenge

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

logisticregression

Logistic regression from scratch in Python

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

matplotlib_tutorial

Source code to go along with my tutorial to learn data visualization with the matplotlib library of Python

ml2020_lectures

Repository containing lectures from 2020 Machine Learning course at Skoltech

ml2020spring