BambooTan

Adafruit_CircuitPython_LSM6DS

CircuitPython helper library for the LSM6DS family of motion sensors from ST

Adafruit_LSM6DS

Arduino library for LSM6DS

STMems_Standard_C_drivers

Platform-independent drivers for STMicroelectronics MEMS motion and environmental sensors, based on standard C programming language.

AHRS

Open-Source-Sensor-Fusion

Open Source Sensor Fusion

STM32CubeF4

STM32Cube MCU Full Package for the STM32F4 series - (HAL + LL Drivers, CMSIS Core, CMSIS Device, MW libraries plus a set of Projects running on all boards provided by ST (Nucleo, Evaluation and Discovery Kits))

EmbeddedSystem

:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结

TAPAS_Calibration

TAPAS Calibration codes

video_stab

video stabilization implementation of "A Non-linear filter for gyroscope-based video stabalization"

gyroflow-docs

Documentation for Gyroflow and Related Projects

gyroflow

[INACTIVE LEGACY VERSION, FIND THE PROJECT HERE: https://github.com/gyroflow/gyroflow] Video stabilization using IMU motion data from internal or external logs

gyroflow

Video stabilization using gyroscope data

vid.stab

Video stabilization library

Video-Stabilization

Digital Video Stabilization and Rolling Shutter Correction using Gyroscopes

VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

cameraimu-data

Creating a new dataset that contains camera motion and IMU data

isp

camera pipeline

opencv-python-tutorial

📖 OpenCV-Python image processing tutorial for beginners

numpy-ml

Machine learning, in numpy

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.