Displaying 1 to 20 from 162 results

franc - Natural language detection

  •    Javascript

Detect the language of text.† - Based on the UDHR, the most translated document in the world.

platform.js - A platform detection library.

  •    Javascript

A platform detection library that works on nearly all JavaScript platforms. Platform.js is for informational purposes only & not intended as a substitution for feature detection/inference checks.

FuckAdBlock - Detects ad blockers (AdBlock, ...)

  •    Javascript

Ideally positioned at the end of <body>. (Available only from version 3.1 and more) By default, FuckAdBlock is instantiated automatically. To block this automatic instantiation, simply create a variable "fuckAdBlock" with a value (null, false, ...) before importing the script.




arachni - Web Application Security Scanner Framework

  •    Ruby

Arachni is a feature-full, modular, high-performance Ruby framework aimed towards helping penetration testers and administrators evaluate the security of web applications. It is smart, it trains itself by monitoring and learning from the web application's behavior during the scan process and is able to perform meta-analysis using a number of factors in order to correctly assess the trustworthiness of results and intelligently identify (or avoid) false-positives.

vibrant.js - Extract prominent colors from an image. JS port of Android's Palette.

  •    CoffeeScript

Extract prominent colors from an image. Vibrant.js is a javascript port of the awesome Palette class in the Android support library. Please file issues over on the node-vibrant repo, this repo is kept solely for historical reasons, but ongoing development will happen over there. Despite node-vibrant's name, it works with both node and the browser (with and without UMD support). It is highly recommended you use that project over this one.

detekt - Static code analysis for Kotlin

  •    Kotlin

Meet detekt, a static code analysis tool for the Kotlin programming language. It operates on the abstract syntax tree provided by the Kotlin compiler. Visit https://arturbosch.github.io/detekt/ for installation guides, release notes, migration guides, rule descriptions and configuration options.

tiny - Tiny Face Detector, CVPR 2017

  •    Matlab

By Peiyun Hu and Deva Ramanan at Carnegie Mellon University. Tiny Face Detector was initially described in an arXiv tech report.


face-recognition

  •    Javascript

Simple Node.js API for robust face detection and face recognition. This a Node.js wrapper library for the face detection and face recognition tools implemented in dlib. Installing the package will build dlib for you and download the models. Note, this might take some time.

opencv4nodejs - Asynchronous OpenCV 3

  •    C++

By its nature, JavaScript lacks the performance to implement Computer Vision tasks efficiently. Therefore this package brings the performance of the native OpenCV library to your Node.js application. This project targets OpenCV 3 and provides an asynchronous as well as an synchronous API. The ultimate goal of this project is to provide a comprehensive collection of Node.js bindings to the API of OpenCV and the OpenCV-contrib modules. An overview of available bindings can be found in the API Documentation. Furthermore, contribution is highly appreciated. If you want to get involved you can have a look at the contribution guide.

Detectron

  •    Python

Example output of e2e_mask_rcnn-R-101-FPN_2x using Detectron pretrained weight. Corresponding example output from Detectron.

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

  •    C

SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

  •    Python

A python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. Built with simplicity in mind, ImageAI supports a list of state-of-the-art Machine Learning algorithms for image prediction, custom image prediction, object detection, video detection, video object tracking and image predictions trainings. ImageAI currently supports image prediction and training using 4 different Machine Learning algorithms trained on the ImageNet-1000 dataset. ImageAI also supports object detection, video detection and object tracking using RetinaNet, YOLOv3 and TinyYOLOv3 trained on COCO dataset. Eventually, ImageAI will provide support for a wider and more specialized aspects of Computer Vision including and not limited to image recognition in special environments and special fields.

commix - Automated All-in-One OS command injection and exploitation tool.

  •    Python

Commix (short for [comm]and [i]njection e[x]ploiter) is an automated tool written by Anastasios Stasinopoulos (@ancst) that can be used from web developers, penetration testers or even security researchers in order to test web-based applications with the view to find bugs, errors or vulnerabilities related to command injection attacks. By using this tool, it is very easy to find and exploit a command injection vulnerability in a certain vulnerable parameter or HTTP header. Usage of commix for attacking targets without prior mutual consent is illegal. It is the end user's responsibility to obey all applicable local, state and federal laws. Developers assume no liability and are not responsible for any misuse or damage caused by this program.

automl - Google Brain AutoML

  •    Jupyter

This repository contains a list of AutoML related models and libraries.

ApplicationInspector - A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine

  •    CSharp

Microsoft Application Inspector is a software source code characterization tool that helps identify coding features of first or third party software components based on well-known library/API calls and is helpful in security and non-security use cases. It uses hundreds of rules and regex patterns to surface interesting characteristics of source code to aid in determining what the software is or what it does from what file operations it uses, encryption, shell operations, cloud API's, frameworks and more and has received industry attention as a new and valuable contribution to OSS on ZDNet, SecurityWeek, CSOOnline, Linux.com/news, HelpNetSecurity, Twitter and more and was first featured on Microsoft.com. Application Inspector is different from traditional static analysis tools in that it doesn't attempt to identify "good" or "bad" patterns; it simply reports what it finds against a set of over 400 rule patterns for feature detection including features that impact security such as the use of cryptography and more. This can be extremely helpful in reducing the time needed to determine what Open Source or other components do by examining the source directly rather than trusting to limited documentation or recommendations.






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