6121 Open source projects that are alternatives of or similar to Advanced Lane Detection

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

detect curved lane lines using HSV filtering and sliding window search.

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

Implementing YOLO using ResNet as the feature extraction network

All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

Finding Lane Lines using Python and OpenCV

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

A self driving toy car using end-to-end learning

Scenarios, tutorials and demos for Autonomous Driving

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

C++ implementation of Model Predictive Control(MPC)

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

Computer Vision Nanodegree program from Udacity

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Udacity Deep Learning MOOC assignments

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Udacity's Self-Driving Car Nanodegree project files and notes.

A software pipeline using the Model Predictive Control method to drive a car around a virtual track.

Self-Driving Car Simulator

真AI人工智能

Diseases Detection from NIH Chest X-ray data

Allstate Kaggle Competition ML Capstone Project

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

My personal notes, presentations, and notebooks on everything Deep Learning.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Build a CNN network to predict 3D bounding box of car from 2D image.

A collection of all projects pertaining to different layers in the SDC software stack

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Udacity Nanodegree and Course Downloader

A python package for visualization and analysis of high-throughput flow cytometry data

Teaching materials in python at the @ENSAE

Mastering Quantum Computing with IBM QX, published by Packt

Tribe extracts a network from an email mbox and writes it to a graphml file for visualization and analysis.

NYU Math-GA 2048: Scientific Computing in Finance

intro to machine learning - reverse engineering phenomena

A deep Q learning demonstration using Google Tensorflow

A containerised platform for Geographic Data Science

Implementation of SRGAN in Keras. Try at: www.fixmyphoto.ai

Juypter notebooks playground to explore and analyse economy and finance ideas

Implementation of CVPR 2016 paper

A recommendation system using tensorflow

Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/

這是政治大學應用數學系《數學軟體應用》課程的上課筆記。主要介紹 Python 程式語言, 目標是用 Python 做數據分析。

PyCon 2017 tutorial on time series analysis

Domain Specific Languages in Python

Scripts/notebooks for The Nature Conservancy's fish classification competition

An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

TensorRT and TensorFlow demo/example (python, jupyter notebook)