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21 search results found

Drowsiness_detection ⭐ 337

A simple Drowsiness Detection module for humans. 😴 🚫 🚗

Spark Df Profiling ⭐ 115

Create HTML profiling reports from Apache Spark DataFrames

Mlnd_distracted_driver_detection ⭐ 98

基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态

Risc V On Pynq ⭐ 76

RISC-V Integration for PYNQ

书籍《深度学习技术图像处理入门》代码环境 Docker 文件

Distracted Driver Detection ⭐ 40

Solves a kaggle problem of State Farm Distracted Driver Detection

Dbse Monitor ⭐ 37

This repository contains the ROS wrapper of Sparks's driver plus various ROS applications.

Notebooks ⭐ 30

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

Distracted Driver Detection ⭐ 28

Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.

Medirl Eyecar ⭐ 22

Ddd Estimator Opencv ⭐ 18

Driver Alertness Detection using Ensemble of Regression Trees and Implemented in OpenCV

State Farm Distracted Driver Detection ⭐ 16

Automatically classification of each driver's behavior given a dataset of 2D dashboard camera images.

Docker containers for data science in python (with CPU and GPU support)

Spark Janelia ⭐ 13

scripts for using spark on janelia's cluster

Predictingtaxidemandairports ⭐ 12

Predicting Taxi Demand at Airports in NYC

Distracted Driver Detection ⭐ 12

CNN model that detects distracted drivers on the road

Docker Selenium ⭐ 12

docker-selenium

Driver Telematics Analysis ⭐ 11

Recurrent Array for Driver Intention Prediciton (RADIP) Code to accompany paper: Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks

Pancancer Evaluation ⭐ 9

Evaluating genome-wide prediction of driver mutations using pan-cancer data

Ros2 Ouster Tools ⭐ 9

Tools and utilities (not a driver) for working with Ouster LiDARs in ROS2.

Labdrivers ⭐ 8

Python drivers for lab hardware

Matmodlab2 ⭐ 8

Material Model Driver

Nyc Yellow Taxi Prediction ⭐ 8

Final group project for CSC 59970 Intro Data Science at CCNY, Fall 2016

Deep Learning Setup ⭐ 8

Driver_safety_analysis ⭐ 8

Estimating driver safety for connected cars

Spark Openshift ⭐ 7

Run Apache Spark on Openshift

Traffic Simulator Q Learning ⭐ 7

We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through reinforcement learning techniques. Assuming a MDP decision making model, Q-learning method is applied to simple but descriptive state and action spaces, so that a policy is developed within limited computational load. The driver could perform reasonable maneuvers, like acceleration, deceleration or lane-changes, under usual traffic conditions on a multi-lane high

Exercises ⭐ 6

Exercises for Ocean Currents: Physical Drivers in a Changing World

An open source library for key drivers analysis based on Shapley values and Kano Theory

Sa_risk_management ⭐ 5

Group project for the WorldQuant University module, risk management.

Customxepr ⭐ 5

Instrument control suite for Bruker E500, MercuryiTC and Keithley 2600.

Distracted_driver_detect_classify ⭐ 5

Using deep convolutional neural networks to detect and classify different types of driver distractions. Full project description and modelling process are included, e.g., data analysis and processing a

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