Three Pac-Man Projects of the UC Berkeley CS188 Introduction to Artificial Intelligence Course
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Updated
Oct 15, 2022 - Python
Robot Framework is an open source, easy to learn, and easy to use, yet powerful, and extendable, generic automation framework for software testing and RPA (robotic process automation). While it's original purpose was to support acceptance testing and acceptance test driven development
(ATDD) of embedded software at Nokia Networks back in 2005, nowadays it is also widely used for automation of integration tests
and end-to-end tests
in desktop, web, and mobile development. You can use it to automate GUI based applications as well as REST, RPC, SOAP and other API, and protocol based testing. Due to it's text based nature and cli tools RF is a perfect match for agile and DevOps, and DevSecOps driven projects striving to succeed in continuous testing. It integrates very well with open source and commercial CI/CD solutions like Jenkins, CircleCI, GitHub Actions, and Azure Pipelines - just to name a few. It is also developer friendly and can easily be versioned with Git, and used with Docker and other container and virtualisation technologies to support building and maintaining of scalable (test) environments following the configuration as code
or infrastructure as code
approach. RF can be used in projects of any technology stack, and runs on any infrastructure (Windows, Mac, Linux, cloud) - it is stack and infrastructure agnostic.
Three Pac-Man Projects of the UC Berkeley CS188 Introduction to Artificial Intelligence Course
This project implements a software defect prediction model using Support Vector Machine.
Convert waveforms exported by the Saleae Logic program into pulse files useable by fast-gpio
Simple program using rpitx to control ceiling fans
Radio performance calculator
Cheap and simple setup for learning RF electronics
SignalWarn helps you monitor radio signals
i organized all what i can from (https://www.instructables.com/RF-433-MHZ-Raspberry-Pi/)
VNAAnalyzer est une application pour charger, visualiser et exporter des fichiers .s2p à l'aide d'un analyseur de réseaux vectoriels (VNA).
Quick-and-Dirty 304Mhz Ceiling Fan control with bare Raspberry Pi (rpitx) via HomeAssistant MQTT
A library to get currency exchange rates by CentroBank of Russian Federation
Develop a telecommunications customer churn prediction model with different machine learning models
A KICAD pcbnew plugin to align two pads on two modules horizontally or vertically
Trabalho de matéria de IA 2 - comparação de classificadores.
Low fidelity time simulation of a chirp signal undergoing doppler shift
KLayout Script for Routing Metal traces, Electrical Waveguides, RF traces with Sharp Miterred Corners
Created by Pekka Klärck
Released 06 2008
Latest release 18 days ago