src
There are 1 repository under src topic.
tom0li / collection-document
Collection of quality safety articles. Awesome articles.
- imgix.jsLanguage:JavaScript 965
Qftm / Information_Collection_Handbook
Handbook of information collection for penetration testing and src
- react-imgix
imgix / react-imgix
React component to display imgix images
Language:JavaScript 353 - Language:Go 266
- js-coreLanguage:JavaScript 120
zongdeiqianxing / hscan
集成crawlergo、xray、dirsearch、nmap等工具的src漏洞挖掘工具，使用docker封装运行；使用oneforall自动遍历子域名并扫描；
Language:Python 113- imgix-phpLanguage:PHP 111
- imgix-rails
A gem for integrating imgix into Rails projects
Language:Ruby 109 hiroyuki-kasai / ClassifierToolbox
A MATLAB toolbox for classifier: Version 1.0.7
Language:MATLAB 81- imgix-rbLanguage:Ruby 76
- Language:JavaScript 59
- jekyll-imgix
A plugin for integrating imgix into Jekyll sites
Language:Ruby 51 W01fh4cker / Serein_Linux
【Lazy Artifact】A graphical tool that collects urls in batches, and performs various nday detections on the collected urls in batches. It can be used for src mining, cnvd mining, 0day exploitation, building your own arsenal and other scenarios.
Language:Python 46- imgix-python
A Python client library for generating URLs with imgix
Language:Python 36 Nekito-Development / openkito
Open-Source Crash client based on Niko by @narumii
Language:Java 26- imgix-swift
A Swift client library for generating URLs with imgix
Language:Swift 25 lagden / postcss-inline-base64
PostCSS plugin used to replace value inside of url function to base64
Language:JavaScript 25anseki / eager-image-loader
The eager-loading for image files on the web page that loads the files according to your plan. This differs from the lazy-loading, for example, this can be used to avoid that the user waits for the loading.
Language:JavaScript 24LeadingIndiaAI / Road-damage-detection
Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important component in transportation maintenance which is labor intensive and requires domain expertise. Automatic detection of road damage is an important task in transportation maintenance for driving safety assurance. The intensity of damage and complexity of the background, makes this process a challenging task. A deep-learning based methodology for damage detection is proposed in this project after being inspired by recent success on applying Deep- learning in Computer Sciences. A dataset of 9,053 images is taken with the help of a low cost smart phone and a quantitative evaluation is conducted, which in turn demonstrates that the superior damage detection performance using deep-learning methods perform extremely well when compared with features extracted with existing hand-craft methods. Using convolutional neural networks to train the damage detection model with our dataset, we use the state-of-the-art object detection method, and compute the accuracy and runtime speed on a GPU server. At the end, we show that the type of damage can be distinguished into eight types with acceptable accuracy by applying the proposed object detection method.
Language:Jupyter Notebook 21- Language:JavaScript 20
- imgix-java
A Java client library for generating URLs with imgix
Language:Java 19 dhingratul / Face-Recognition-Algorithms
Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset
Language:MATLAB 18ShubhamBansal1997 / pdf-to-base64
Convert pdf from file or url to base64
Language:JavaScript 18- imgix-statamic
An add-on for integrating imgix into Statamic sites
Language:PHP 17 - imgix-csharp
A C# client library for generating image URLs with imgix
Language:C# 14 - imgix-goLanguage:Go 12
Sowwyz / minecraft-website
Minecraft website, old old old old old old old skid
Language:CSS 11alpdias / economic-calendar
🌏 Python script to obtain the economic calendar of the site br.investing.com
Language:Python 10yh this chungus website, enjoyer
Language:HTML 9- Language:JavaScript 9
root website
Language:JavaScript 9
