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3d-babel

3D environment (videogame) of the Library of Babel (https://libraryofbabel.info/) in Unity

animegan

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

aylus_team_procareer

click_that_hood

A game where users must identify a city's neighborhoods as fast as possible

clmr

Official PyTorch implementation of Contrastive Learning of Musical Representations

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

driver-distraction-detection

Detects and alarms the driver when he/she is distracted while driving.

enki-

We at Enki connect disaster-stricken people to organizations and individuals who are willing to help. We make sure that nobody’s plea for help goes unnoticed, using technology to bring the world a little closer and make humans slightly more humane.

enki-hacks4humanity

We at Enki connect disaster-stricken people to organizations and individuals who are willing to help. We make sure that nobody’s plea for help goes unnoticed, using technology to bring the world a little closer and make humans slightly more humane.

eye-blink-detection

Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.

eye-blink-detection-demo

A very simple demo code for eye blink detection with dlib libray with python

face_detection_opencvdnn

OpenCV讀取Caffe與Tensorflow模型用於臉部偵測練習，並使用多進程改良效能

fatigue-detection

Eye state classification using OpenCV and DLib to estimate Percentage Eye Closure (PERCLOS) and alert a drowsy person (such as a driver).

fatigue-driven-detection-based-on-cnn

本科毕设内容：基于卷积神经网络的疲劳驾驶检测。

gazeml

Gaze Estimation using Deep Learning, a Tensorflow-based framework.

gazetracking

👀 Eye Tracking library easily implementable to your projects

mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

mtcnn-opencv_face_pose_estimation

Use mtcnn to obtain 5 face key points and estimate face pose by cv2.solvePnP

nlp-sentimentanalysisforchinesetext

Python中文文本挖掘：使用机器学习方法进行情感分析。

optimization-model-for-emergency-shelter-location-selection

We used Tableau to construct the frequency maps of various natural disasters across all counties in US since 1954 based on the FEMA dataset. We constructed the SVI *Population map graph by multiplying the E_TOPTOP((Population estimate) and F_TOTAL (Sum of flags for the four SVI themes). We allow users to input the counties affected by a real-world disaster and assign each county with a weight according to its SVI * Population value (greater the population or/and SVI index, greater the weight). We employed RANSAC linearization model to calculate the optimized location of shelter that to the greatest extent help the people in need. This location is transferred to the disaster-frequency map to inform the users the safety of the location in the face of a particular disaster. We allow users themselves to determine the balance between the location that help most people in need and the location that is the relatively safe in a particular disaster.

pythonplantsvszombies

a simple PlantsVsZombies game

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

stackgan-v2

testingstyle

videostyletransferpytorch