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navigation2

ROS2 Navigation Framework and System

nazaconnectivity

nrfx

Standalone drivers for peripherals present in Nordic SoCs

octooled

Display information about the current OctoPrint print job on a SSD1306 oled display

opencv

Open Source Computer Vision Library

openvino_contrib

Repository for OpenVINO's extra modules

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pangolin

Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

pdq_gfx_libs

Optimized fork of Adafruit's GFX library (and drivers) for Arduino (AVR).

picamera

A pure Python interface to the Raspberry Pi camera module

picamera-gui

A GUI for Raspberry Pi's camera module with live time preview.

pifm

Copy of http://www.icrobotics.co.uk/wiki/index.php/Turning_the_Raspberry_Pi_Into_an_FM_Transmitter

pwnagotchi

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

raspap-webgui

Simple AP setup & WiFi management for Debian-based devices

rbsmanager

A Swift library for connecting to ROS using ROSBridge and Websockets

respeaker_python_library

To build voice enabled objects/applications with Python and ReSpeaker

rmw_iceoryx

rmw implementation for iceoryx

robomaster

Collection of code related to DJI's Robomaster S1 and EP.

robomaster-micropython

Robomaster S1 - Micropython CAN BUS controller

robomaster_s1_ros_reference_design

Hardware and software reference design for RoboMaster S1 Challenge

ros1_bridge

ROS 2 package that provides bidirectional communication between ROS 1 and ROS 2

rpix

get ci to make me an x86_64 cross compiling toolchain for my rpi so i can use it as a distcc node

rtabmap

RTAB-Map library and standalone application

rviz

ROS 3D Robot Visualizer

self_balancing_robot

sfhss-study

test implementation of Futaba S-FHSS receiver on STM32 with CC2500

st7735s

an OS independent library for the neat ST7735S 80x160 IPS 0.96" TFT-Display

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

studygit

simple repo to study how to use github

teeterbot

Self-balancing robot simulation model for ROS / Gazebo