Technology

How to Own That New State-of-the-Art Model Repo!

Transfer Learning Made Super Simple Life Today Deep learning has evolved in the past five years from an academic research domain, to being adopted, integrated and leveraged for new dimensions of productivity across multiple industries and use cases, such as medical imaging, surveillance, IoT, chatbots, robotic,s and many more. From NLP to computer vision, deep …

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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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Audio Classification with PyTorch’s Ecosystem Tools

Authored by Dan Malowany at Allegro AI Audio signals are all around us. As such, there is an increasing interest in audio classification for various scenarios, from fire alarm detection for hearing impaired people, through engine sound analysis for maintenance purposes, to baby monitoring. Though audio signals are temporal in nature, in many cases it …

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Accelerate your Hyperparameter Optimization with PyTorch’s Ecosystem Tools

The design and training of neural networks are still challenging and unpredictable procedures. The difficulty of tuning these models makes training and reproducing more of an art than a science, based on the researcher’s knowledge and experience. One of the reasons for this difficulty is that the training procedure of machine learning models includes multiple …

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7 Rules for Bulletproof, Reproducible Machine Learning R&D

So, if you’re a nose-to-the-keyboard developer, there’s ample probability that this analogy is outside your comfort zone … bear with me. Imagine two Olympics-level figure skaters working together on the ice, day in and day out, to develop and perfect a medal-winning performance. Each has his or her role, and they work in sync to …

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How Neural Guard Built its X-Ray & CT Scanning AI Production Pipeline – Customer Story

Neural Guard produces automated threat detection solutions powered by AI for the security screening market. With the expansion of global trends like urbanization, aviation, mass transportation, and global trade, the associated security and commercial challenges have become ever more crucial. In this blog, we will talk about how researchers and developers at Neural Guard builds …

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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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