Guest Post

Good Testing Data is All You Need – Guest Post

Authored by Raviv Pavel, CTO and Co-founder @ Neural Guard – published by author approval  A Methodology for Optimizing Dataset ROI & Maximizing TTM in Applied AI Building machine learning (ML) and deep learning (DL) models obviously require plenty of data as a training-set and a test-set on which the model is tested against and …

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How theator Built a Continuous Training Framework To Scale up Its Surgical Intelligence Platform

Originally Published in PyTorch Medium by Omri Bar  – Republished by author approval  Performing surgery is largely about decision making. As Dr. Frank Spencer put it in 1978, “A skillfully performed operation is about 75% decision making and 25% dexterity”. Five decades later, and the surgical field is finally — albeit gradually — implementing advances in …

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Machine Learning with Jupyter: Solving the Workflow Management Problem using Open-platforms

Originally written by Henok Yemam on TDS (link)- Republished by author approval. The infamous data science workflow with interconnected circles of data acquisition, wrangling, analysis, and reporting understates the multi-connectivity and non-linearity of these components. The same is true for machine learning and deep learning workflows. I understand the need for oversimplification is expedient in …

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Five Things You can do with Jupyter and ClearML – Guest blogpost

Get more out of your AI / MLIDE Originally written by Henok Yemam – Republished by author approval. The positive effects of Artificial Intelligence (AI) in our everyday life are no longer disputable with our ever-increasing reliance on its applications. In the early days of the internet, the cost of infrastructure limited the people who …

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New TF2 Object Detection API – User Story

Originally Published in TDS by Ivan Ralašić  – Republished by author approval  Welcoming new animals to the Zoo — model evaluation Tensorflow Object Detection API (TF OD API) just got even better. Recently, Google released the new version of TF OD API which now supports Tensorflow 2.x. This is a huge improvement that we’ve all …

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The Machine Learning Collaboration Tool You’ll Want to Ride Solo – User Story

Republished here with the author’s permission – original post on Medium here. Authored by Christopher Reiss. I’ll admit it. I am a gushing fan of this new product from Allegro AI called Allegro Trains. I’m not sure what to call it — what noun I should attach to this creature. “Framework” and “Platform” have become, to …

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Accelerating my COVID-19 DL project – User Story

Allegro Trains will take you out of the village! Republished here with the author’s permission – original post on Medium here. Authored by Henok Yemam. The recent global pandemic caused by the COVID-19 virus has threatened the sanctity of our humanity and the well-being of our societies at large. Similar to times of war, the …

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Git for ML projects – Customer Story

Experiment management doesn’t have to be chaotic Republished here with the author’s permission – original post on Medium here. Authored by Ivan Ralašić. Every researcher or machine learning enthusiast faces that well-known experiment management nightmare; it’s usually a rude awakening discovered at the beginning of one’s career. Here’s how it goes: After hours of waiting …

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Managing ML Projects — Allegro Trains vs GitHub

Allegro Trains, a project management hub designed to seamlessly integrate with ML workflow Republished here with the author’s permission – original post on Medium here. Authored by Henok Yemam. The resurrection of AI due to the drastic increase in computing power has allowed its loyal enthusiasts, casual spectators, and experts alike to experiment with ideas …

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