Davide Andreazzini (Page 2)

The Power of Python: Leveraging its Libraries and Frameworks for Development

Python, a versatile and dynamic programming language, has gained immense popularity among developers due to its simplicity, readability, and extensive ecosystem. One of Python's greatest strengths lies in its vast collection of libraries and frameworks, which enable developers to accelerate development, enhance productivity, and create powerful applications. In

Building Scalable Web Applications with JavaScript and Cloud Services

In today's digital age, web applications are at the forefront of technological innovation. As businesses strive to reach a global audience and handle increasing user demands, building scalable web applications has become crucial. JavaScript, with its wide adoption and versatility, coupled with cloud services, offers an excellent foundation

Demystifying Cloud Computing: An Introduction for Developers

Introduction Cloud computing has revolutionized the way developers build, deploy, and scale applications. In recent years, it has become an integral part of the tech industry, enabling businesses of all sizes to leverage the power of the cloud to enhance their operations. However, for many developers, the concept of cloud

Python for Beginners: A Step-by-Step Guide to Get Started

Introduction Python has become one of the most popular programming languages for beginners due to its simplicity, readability, and versatility. Whether you're interested in web development, data analysis, artificial intelligence, or even game development, Python is an excellent choice to begin your programming journey. In this step-by-step guide,

Feiyutech G6 Plus active tracking with Canon G7X Mark 2

After playing for a while with this gimbal I discovered that you can use active track on a connected mobile device. Here in this video I will show how I was able to record a video with a Canon G7X II and perform active track with a mobile device

Feiyutech g6 plus + SONY SLT-A58

Hello everyone this is a small video I made to show how to balance a sony A58 camera on the Feiyutech g6 plus gimbal. I did not expect it to work but it did, enjoy the video.

tensorflow

Generative Adversarial Networks

Hi there, it's been a while from the last time a posted something. Recently, during the last Easter holiday I was playing with Generative Adversarial Networks, a type of neural networks used to produce new data. Basically a GAN is composed by 2 networks: a generator and a

OpenAI just released the 1558M parameter model for GPT2

'm posting here the link of a colab notebook with the test for the new GPT-2 model released by openAI https://colab.research.google.com/drive/19Yha3-EtYxumOInqaZkTm1c7nCD7ZlYk#scrollTo=cMes5yRQuXs4

A first look at OpenAI GPT2

GPT2 is a model developed by OpenAI for NLP. The model is composed by a transformer architecture as shown in the picture below. Luckily for us the dudes at Huggingface have releases a pretrained version and implementation of this model ... and many other type of transformer models. https://huggingface.co/

Getting started with tensorflow-js and Angular - AngularMVD

Recently I moved to Uruguay, Montevideo. Here I found an active community of developers, yesterday I had a chance of giving a talk at the AngularMVD meetup. Even though it has been ages from the last time I developed an Angular app the talk was about how to use tensorflow.

JS

Parcel web bundler pros and cons

Recently I've been using Parcel (https://parceljs.org/) for some small web apps I'm developing in my free time. Parcel is a modern javascript bundler that is used to package a JS app into a single, or multiple files. We could argue that the state of

nasa

Send your name to Mars

Send Your Name to Mars. NASA's Mars 2020 Rover is heading to the red planet. Submit your name by Sept. 30, 2019, and fly along! Your email is used only to give you “Frequent Flyer” points and to allow you to send your name on future Mars missions.

Transfer learning with mobilenet and KNN

Transfer learning is a popular approach used in machine learning where a model trained on a task is re-purpose a model designed for a different task. Therefore the definition of Transfer Learning is the following. Given a source domain D(s) and learning task T(s), a target domain D(

Using tensorflow-models/mobilenet for image recognition

Here is a simple tutorial on how to use the mobilenet model released by google with tensorflow-js. This tutorial requires node v >10 and the parcel bundler. To install node use nvm https://github.com/nvm-sh/nvm and to install parcel just run npm -i g parcel-bundler step 1

Easy tensorflow.js intro - basic operations

Tensorflow is the defacto standard for building advanced neural networks of any kind. Natively tensorflow is a python library and gives to the user a framework that simplifies operation with tensors. A tensor is a mathematical object analogous to but more general than a vector, represented by an array of

Posenet

Playing with models released for tensorflow js. Posenet is a neural network that allows the estimation of a human pose from an image. For more technical information about how it actually works refer to this blog post https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5 import * as posenet from "@tensorflow-models/posenet"

javascript

3d force directed graph visualisation with ThreeJS

I needed a cool way to visualize a force directed graph with many datapoints, so I thought that webGL was the way to go as it should be able to handle the heavy load better than d3 SVG. The library I've used for this small proof of concept

javascript

Client side routing explained

Client side routing explained React router is the defacto standard for client side routing in React SPA application. To understand how React router works ( and other type of client side routing libraries), first, we need to understand how client side router works. Server side routing On a server side web

tensorflow

Use face-api.js on node js

Face-api.js is a great library that uses tensorflowjs to do face recognition, face detection, face landmarks, and other stuff with faces... The problem is that is complicated, the code is complicated, the examples are complicated and the documentation is complicated. The dude writing here likes simple things, he is

javascript

ASCIICAM

Simple webapp that turns your webcam into ASCII art. code is available on github at https://github.com/david1983/ascii_cam I've done this in 2015 when I realised that I did not know JS enough ... so it is done in vanilla JS, without any libraries and using

Javascript game in less then 1kb

Code golf winner of the js1k2010 c=document.getElementById("c");h=t=150;L=w=c.width=800;u=D=50;H=[];R=Math.random;for($ in C=c.getContext('2d'))C[$[J=X=Y=0]+($[6]||'')]=C[$];setInterval("if(D)for(x=

spark

Hadoop-spark-kafka-zookeeper docker compose

Docker compose is awesome, especially if you need to spin up your local development environment. the following is the docker-compose I use at home. version: '2.1' services: zoo1: image: zookeeper:3.4.9 restart: unless-stopped hostname: zoo1 ports: - "2181:2181" environment: ZOO_MY_ID:

Not an Hotdog

I love the silicon valley tv series. and lately I've been doing some machine learning and deep learning studies, so what's the most famous image classification problem of the silicon valley series? Obviously Jin Yang's not an hotdog The following is the Keras model

keyboard

Backslash and pipe on a US keyboard set as UK

This is for anyone in the UK, stuck with a US layout keyboard!!! Recently I bought a cheap mechanical keyboard from the US, even though the layout US-UK is fairly similar, some keys are in a different position, like the # and some others are missing (¦|). Today I needed to type

Fast line count

The following is a simple bash script used to calculate the number of lines in ginormous text files ( like 20G CSV). #!/bin/bash # get the line count of a file without reading the entire file # accuracy can be adjusted by changing the $linenum parameter path=$1 linenum=$2 head=$(head