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Name: Omor
Type: User
Location: London
Name: Omor
Type: User
Location: London
Repository for the workshop A Gentle Introduction to using Python for Analyzing Election Data
ELIZA therapy chat-bot with sentiment detection and response via avatars
Self-improving decision organism
Bundle of all core development tools for Elm
A text editor written completely in Elm
Elm - Vega/Lite Integration for functional declarative visualization
ELM Times - Single Page Prayer Times Web App
Search and browse interface for the Manual for Courts-Martial
Emergency vehicles detection system in crowed
Detection Emotion from image
An application to write OS images to USB drives, on Android, no root required.
A collection of (mostly) technical things every software developer should know
Example Order Book Imbalance Algorithm
A framework for creating linguistic experiments
Exposure Notifications Android Reference Design
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Deep face recognition with Keras, Dlib and OpenCV
A simple face recognition script that identifies and classifies all faces in an image.
The challenge is to build a face recognition and verificaiton based entry system for a house which hosts some people frequently. The notebook presents a face recognition system. Tthe ideas presented here are from FaceNetand DeepFace. Face recognition problems commonly fall into two categories: Face Verification - "is this the claimed person?". For example, at some airports, you can pass through customs by letting a system scan your passport and then verifying that you (the person carrying the passport) are the correct person. A mobile phone that unlocks using your face is also using face verification. This is a 1:1 matching problem. Face Recognition - "who is this person?". For example, the video lecture showed a face recognition video (https://www.youtube.com/watch?v=wr4rx0Spihs) of Baidu employees entering the office without needing to otherwise identify themselves. This is a 1:K matching problem.
The world's simplest facial recognition api for Python and the command line
Facial recognition payment processing application
Deepfakes Software For All
Implementation of facial recognition using facenets.
generate massive amounts of fake data in Node.js and the browser
Icons, Borders, Radius ... for Android buttons
Blenheim Chalcot Interview Test
🚀 A Complete Fast Android Networking Library that also supports HTTP/2 🚀
Library for fast text representation and classification.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.