MQTT Client Library for CircuitPython

The home of Raspberry Pi Imager, a user-friendly tool for creating bootable media for Raspberry Pi devices.

image pyramid code in python 3

Practical Python Programming for IoT, published by Packt

Library for the Adafruit PyCamera

Learn ESP32 with Arduino IDE Course »

How to generate AWGN with correct PSD on MATLAB

🔉 Play and Record Sound with Python 🐍

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeX…

Self-hostable web tool for generating ambient noises

Matplotlib styles for scientific plotting

Homepage of Charles Casimiro Cavalcante

Jupyter Notebooks and Data Sets for Pandas Library

Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto

Basics of image processing techniques like image manipulation, image enhancement, image segmentation, and many more using Matlab code

"Essential Kali Linux commands for ethical hackers and penetration testers."

These python3 codes will be used to test MQTT protocols support on Raspberry Pi4. Here we've given publisher and subscriber files to test MQTT on RPi4

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

AVRDUDE is a utility to program AVR microcontrollers

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 filte…

Python code and data to the manuscript "Hands-on Signal Analysis with Python"

Digital logic design tool and simulator

Matlab for Digital Image Processing ( DIP ) - Assignment of DIP

A good understanding of the Fourier Transform and its coding implementation using Python

Comprehensive Python Cheatsheet