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Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Simple Online Realtime Tracking with a Deep Association Metric
Privacy is the most important issue for the AI face recognition camera. Open source and BYOD is the only way to solve privacy issue. SharpAI DeepCamera provides private deployment architecture to save all your information on your own devices.
Fine-grained detection on Vehicle Model/Make
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
A distributed visual search and visual data analytics platform.
Defect detection based on OpenCV and Keras approach
Textile defect detection using OpenCVSharp
An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim
Locating a particular person in a given surveillance video using a set of soft-biometric queries such as height,color and gender.
Automatic Parking Detection
Computer Vision and Image Analysis v2
Classify dashcam images to detect cases of distracted or safe driving.
CNN model that detects distracted drivers on the road
Solves a kaggle problem of State Farm Distracted Driver Detection
StateFarm dataset used to predict the class of the distracted driver using VGG-16, RESNET50, XCEPTION and MOBILE NET models
Distracted driver detection trained on State Farm Dataset from Kaggle
Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.
Trained MobilenetV2 model to recognize the distracted behaviors exhibited by drivers while driving. Deployed the Deep Learning model on the flask to make real-time predictions.
This is a machine learning/neural network model that is used to predict the likelihood of what the driver is doing in the picture.
This project aims to detect the dangerous status of driving based on the images captured by the dashboard camera using deep learning.
Starter project for the Kaggle State Farm Distracted Driver Detection Competition
Distracted Driver Posture and Head Position Identification via m-CNNs
Android app to demo dlib face recognition
driver monitor system based on deep learning
PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.
Identifying distracted drivers using Convolutional Neural Networks
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.