Exploring the expansive universe of Python libraries in 2023, our curated selection goes beyond the usual suspects to uncover hidden gems and innovative tools. Dive in!

Top Python libraries of 2023 you should know about

Top Python libraries of 2023

There are so many amazing Python libraries and tools out every year that it's hard to keep track of them all. That's why we share with you our hand-picked selection of our best picks.

Top Python libraries of 2022 you should know about

Top Python libraries of 2022

Interested in video analytics applications?

In this blog post, we go over a practical example of AI-based video analytics to compute soccer ball possession metrics automatically from a video feed. We explain how the solution is built from the ground, and release the source code in GitHub.

Automatically measuring soccer ball possession with AI and video analytics

Norfair is a customizable lightweight Python library for real-time multi-object tracking built by Tryolabs. Norfair 2.0 includes support for n-dimensional tracking and estimation of camera motion to improve tracking under challenging scenarios with occlusion.

Announcing Norfair 2.0: an open-source real-time multi-object tracking library

Shoptalk 2022 was the biggest retail event of the year. Here we share insights about the future of retail and the role AI is playing in the industry.

The state of retail in 2022: takeaways from Shoptalk

There are so many amazing Python libraries out there that it's hard to keep track of all of them. That's why we share with you our hand-picked selection of some top libraries.

Top Python libraries of 2021 you should know about

Top Python libraries of 2021

Top Python libraries of 2020 you should know about

Top Python libraries of 2020

End-to-end analysis of the creative process behind a system to detect face masks from street camera video streams using Computer Vision

Face mask detection in street camera video streams using AI: behind the curtain

Top 10 Python libraries of 2019 you should know about

Top 10 Python libraries of 2019

Khipu 2019 was the most important event in the history of artificial intelligence in Latin America. Researchers from around the world shared their experiences and learnings. Read here about our 8 main takeaways from the conference.

The 8 main takeaways from Khipu 2019

Before you kick off a Machine Learning initiative in your business, you should take some time to plan it out and make sure you've got a full understanding of the project goals, resources and data. This will go a long way toward minimizing potential risks and maximizing the positive results.

11 Questions to Ask Before Starting a Machine Learning Project

11 questions to ask before starting a successful Machine Learning project

Top 10 Python libraries of 2018

Amazon Web Services (AWS) offers great cloud computing services to make the deployment of your apps easier. In this workshop for AWS beginners, you'll learn how to deploy a demo application using several basic services available in the AWS stack!

Getting started with AWS: open source workshop

I was invited to give a keynote talk at the PyCon APAC 2018 in Singapore. It was an honor to be asked to be a keynote speaker and I was especially excited that this time it was for a conference taking place in Asia-Pacific. Read here about my main learnings, my talk & the conference highlights!

My PyCon APAC 2018 experience in Singapore

Top 10 Python libraries of 2017

We'll be speaking at ODSC San Francisco & London, presenting our Deep Learning R&D findings

Top 10 Python libraries of 2016

The 10 main takeaways from MLconf SF

Building our site: From Django & Wordpress to a static generator (Part I)

Top 10 Python libraries of 2015

Building a Docker image with templating and initialization support

Chatbots and automated online assistants

Configurable Docker containers for multiple environments

TryoMeetup: Git of every day

The use of Machine Learning for business is growing every day. Consequently, there’s an increasing amount of available information about it, which makes it easy to get lost in the ML jungle. Here's an overview of the basic concepts and applications.

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Alan Descoins

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