invisible-lab's repositories
A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
apollo
An open autonomous driving platform
ardupilot
ArduPlane, ArduCopter, ArduRover source
baidu-lane-detection-2019
百度Aistudio无人车车道线检测挑战赛/练习项目/Pytorch
caltech-lane-detection
Caltech Lane Detection Software
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Data-Science-Notes
数据科学的笔记以及资料搜集
deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
DeepPiCar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
dragonpilot
dragonpilot - 基於 openpilot 的開源駕駛輔助系統
jetbrains-agent-latest
本项目仅供和我一样交不起年费的穷程序员使用。
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
KMS_VL_ALL_AIO
Smart Activation Script
lanefollowing
ROS2 End-to-End Lane Following Model with LGSVL Simulator
Lanelet2
Map handling framework for automated driving
LDD-LinuxDeviceDrivers
Linux内核与设备驱动程序学习笔记
lihang-code
《统计学习方法》的代码实现
machine_learning_beginner
机器学习初学者公众号作品
Microsoft-Activation-Scripts
A collection of scripts for activating Microsoft products using HWID / KMS38 / Online KMS activation methods with a focus on open-source code, less antivirus detection and user-friendliness.
MLND-Capstone
Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree
openalpr
Automatic License Plate Recognition library
PolyLaneNet
Repository for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression"
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
Virtual-Lane-Boundary-Generation
Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving