Discover Plotly
by In this short tuto, we will discover the Plotly data visualization library and we’ll pratice this library through hands on
Category: Tutorials
YOLO (Part 1) Introduction with Darknet
We will see in this article, how with the YOLO neural network we can very simply detect several objects in a photo. The objective is not to go into the details of the implementation of this neural network (much more complex than a simple sequential CNN) but rather to show how to use the implementation which was carried out in C ++ and which is called Darknet.
Introduction to nlpcloud.io
by NLPCloud.io is an API for easily using NLP in production. The API is based on the pre-trained models of spaCy and Hugging Face (based on transformers). In and article we will see how to use this API in a few lines …
Discover Gradio: a simple web UI for your Models
In this tutorial, I invite you to discover a small open source framework that is very easy to set up and use and which will allow you to create an interface for your Machine Learning models. Follow the leader …
Data Access / Python / Text / Tutorials
Getting data from a pdf using Python
In this article you will learn how to easily recover data from a pdf file using Python.
Data Access / Image / OCR / Python / Text / Tutorials / Web Development
A REST service that processes invoices scanned in Python
In this post, I suggest you create a web service (RESTFul) in Python which will retrieve an image (JPEG) to analyze and process it in order to return the constituent elements.
Get started with Tesseract
122/5000
Interested in OCRs? learn how to use Tesseract (Open Source OCR) from the command line but also via Python.
Orange Data Science Tool
Discover in this article in the form of a tutorial how this small Open-Source Data-science tool can save you a lot of time!
Coding / Data Access / Modeling / Python / Tutorials / Web Development
Publish your Machine Learning models with Flask!
In this article we will see how to install and especially use the Python Flask micro-framework. very useful for publishing your Machine learning models in REST!
