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election_data_analysis_w_python

Repository for the workshop A Gentle Introduction to using Python for Analyzing Election Data

elizaplus

ELIZA therapy chat-bot with sentiment detection and response via avatars

ella

Self-improving decision organism

elm-platform

Bundle of all core development tools for Elm

elm-text-editor

A text editor written completely in Elm

elm-vega

Elm - Vega/Lite Integration for functional declarative visualization

elmtimes

ELM Times - Single Page Prayer Times Web App

emcm

Search and browse interface for the Manual for Courts-Martial

emergency_vehicles_detection

Emergency vehicles detection system in crowed

emotion_detection

Detection Emotion from image

es6-angularjs

etchdroid

An application to write OS images to USB drives, on Android, no root required.

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

example-hftish

Example Order Book Imbalance Algorithm

experigen

A framework for creating linguistic experiments

exposure-notifications-android

Exposure Notifications Android Reference Design

face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

face-recognition

Deep face recognition with Keras, Dlib and OpenCV

face-recognition-1

A simple face recognition script that identifies and classifies all faces in an image.

face-recognition-for-a-guest-house

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.

face-recognition-security

face_recognition

The world's simplest facial recognition api for Python and the command line

facepay

Facial recognition payment processing application

faceswap

Deepfakes Software For All

facial-recognition-using-facenet

Implementation of facial recognition using facenets.

faker.js

generate massive amounts of fake data in Node.js and the browser

fancybuttons

Icons, Borders, Radius ... for Android buttons

farm-game

Blenheim Chalcot Interview Test

fast-android-networking

🚀 A Complete Fast Android Networking Library that also supports HTTP/2 🚀

fasttext

Library for fast text representation and classification.