On Guard Against COVID-19: AI Projects That Deserve a Shout-Out

In this article, the author analyzed some of the most interesting and promising solutions in terms of their potential to slow down the spread of the COVID-19 infection, reduce death rates, and improve information hygiene in these turbulent times.

https://bit.ly/2A82qZn

Optimize Response Time of your Machine Learning API In Production

This article demonstrates how building a smarter API serving Deep Learning models minimizes the response time.

https://bit.ly/2L2LIg9

ICLR 2020 Recordings

All recordings for papers and workshops of the International Conference on Learning Representations 2020 are now available to everyone!

Workshops - https://bit.ly/3dm5S0C
Papers - https://bit.ly/3dgubgu

Feature Stores for ML

This is a great collection of talks about the variety of ways that organizations build and manage their feature stores.

https://bit.ly/2LGV7dB

Model Evaluation Metrics in Machine Learning

A detailed explanation of model evaluation metrics to evaluate a classification machine learning model.

https://bit.ly/3gvS7Pf

FP64, FP32, FP16, BFLOAT16, TF32, and other members of the ZOO

There are many floating point formats you can hear about in the context of deep learning. Here is a summary of what are they about and where are they used.

https://bit.ly/3gUS2Vv

Classification of Brain MRI as Tumor/Non Tumor

Learn to train and apply a simple CNN to differentiate between an MRI with a Tumor and an MRI without one.

https://bit.ly/3gX9clr

Beyond fashion: Deep Learning with Catalyst

Step-by-step tutorial for setting up a deep learning pipeline with Catalyst and deploying the model to production.

https://bit.ly/2XATNQa

How to Scale Data With Outliers for Machine Learning

In this tutorial, you will discover how to use robust scaler transforms to standardize numerical input variables for classification and regression.

https://bit.ly/3eZginS

How to Use Polynomial Feature Transforms for Machine Learning

In this tutorial, you will discover how to use polynomial feature transforms for feature engineering with numerical input variables.

https://bit.ly/3h3dUy8

Catalyst 101 — Accelerated PyTorch

In this post, you will learn about Catalyst framework, developed with focus on reproducibility, fast experimentation, and code/idea reusing.

https://bit.ly/2Yah4r7

Using AI to predict retinal disease progression

In this post, you will learn about AI system that can predict the development of exAMD which was created by DeepMind in collaboration with Moorfields Eye Hospital and Google Health.

https://bit.ly/2MEbnwv

How to Do Data Exploration for Image Segmentation and Object Detection

In this article, the author will share with you how he approaches data exploration for image segmentation and object detection problems.

https://bit.ly/3cL9IQf

Data Science Digest (June 2020)

Hi folks, I’m happy to share with you the latest Data Science Digest issue featuring Data Science & Machine Learning goodies for June 2020. Please upvote on Habr and applaud on Medium.

Habr (RU) — https://bit.ly/30lGGUR
Medium (EN) — https://bit.ly/3f4xbNS

The Ultimate Guide to Deploying Machine Learning Models

This multi-part series is a great resource for learning about model deployment. Covers a variety of topics, including common pitfalls, interfaces, model registries, A/B testing and more.

https://bit.ly/3cNSGB3

OpenCV Social Distancing Detector

In this tutorial, you will learn what social distancing is and how OpenCV and deep learning can be used to implement a social distancing detector.

https://bit.ly/2ULzAWb

Anti-Patterns in NLP (8 types of NLP idiots)

In this talk, you will learn about common anti-patterns that happen in the industry while solving text problems.

https://bit.ly/31SwxQf

Interactive, Scalable Dashboards with Vaex and Dash

Vaex and Dash are open-source libraries that make it easy to build interactive dashboards on the web for millions, and even billions, of data samples using just your Python skills. This tutorial shows what you can do with these libraries and how to use them.

https://bit.ly/2Otifxr

​​Deep Learning with PyTorch

Download a free copy of the full book and learn how to get started with AI / ML development using PyTorch. This book provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open-source machine learning framework.

https://bit.ly/3jPFMqY

Understanding coordinate systems and DICOM for deep learning medical image analysis

Multiple introductory concepts regarding deep learning in medical imaging, such as coordinate system and DICOM data extraction from the machine learning perspective.

https://bit.ly/3hSi0sB

Awesome GPT-3

This evolving GPT-3 collection includes links to some of the best demos and tutorials around the web. This is a great rabbit hole for anyone interested in understanding how GPT-3 works and where it's going.

https://bit.ly/30LQozy