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Data Phoenix Digest - ISSUE 51

Data Phoenix Digest - ISSUE 51

YOLOv7, from ML model to ML pipeline, MLOps and ML roadmap, training the YOLOv5, multiplying matrices without multiplying, SoundSpaces platform, the Shapley value in ML, MineDojo, OmniBenchmark, HaGRID, PMData, courses, and more.

Dmitry Spodarets profile image
by Dmitry Spodarets


The Data Phoenix team invites everyone working in Machine Learning, Computer Vision, Natural Language Processing, Data Science, and other aspects of Artificial Intelligence to participate in the Machine Learning & Data Science Survey 2022.

This survey won't take up much of your time, and your responses to our questions will help us identify the state of the industry in 2022. We’ll share the results with you!


From ML Model to ML Pipeline
In this guide, you’ll learn the basics about building machine learning models and, most importantly, robust machine learning pipelines that accommodate them by using Scikit-learn.

An End-to-End MLOps Platform Implementation using Open-source Tooling
There’s a growing number of disparate, largely open-source tools and frameworks being developed to support specific MLOps capabilities. In this article, you’ll learn how to use some of them.

MLOPs And Machine Learning RoadMap
Struggling to learn the ins and outs of MLOps? No worries, Ben Rogojan has created a 16–20 week roadmap to help you approach ML and MLOps step by step.

Uber’s Real-Time Document Check
Rider Identity Verification was developed by Uber to protect drivers from bad actors on the platform. Learn more about Uber’s journey, from the design to implementation stages.

Google at Computer Vision and Pattern Recognition conference (CVPR 2022)
Google had a strong presence at CVPR 2022 with over 80 papers being presented at the main conference and active involvement in a number of conference workshops and tutorials.

How to Save and Load Your Keras Deep Learning Model
Keras is a simple and powerful Python library for deep learning. In this guide, you’ll learn how to save your Keras models to file and load them up again to make predictions.

Training the YOLOv5 Object Detector on a Custom Dataset
In this tutorial, you’ll learn to train the pretrained YOLOv5 object detector on a custom dataset without writing much code. It is the last in the 7-part series on YOLO.

How Wavelets Allow Researchers to Transform, and Understand, Data
Wavelets are representations of short wavelike oscillations with different frequency ranges and shapes. Learn how they can be used to better understand and handle various data at scale.


The Shapley Value in Machine Learning
The authors discuss fundamental concepts of cooperative game theory and axiomatic properties of the Shapley value, give an overview of its important applications, and examine its limitations.

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
MineDojo is a new framework that features a simulation suite of diverse open-ended tasks and an internet-scale knowledge base with Minecraft videos, tutorials, wiki pages, and forum discussions.

Multiplying Matrices Without Multiplying
The authors introduce an algorithm for multiplying matrices that outperforms existing methods. It runs 100× faster than exact matrix products and 10× faster than current approximate methods.

Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case
Pythae is a versatile open-source Python library that provides a unified implementation and a dedicated framework for reproducible use of generative autoencoder models.

SoundSpaces Platform
SoundSpaces is a dataset of audio renderings based on geometrical acoustic simulations. It is AIHabitat-compatible and allows rendering arbitrary sounds at any pair of source and receiver.


Machine Learning for Beginners
Azure Cloud Advocates at Microsoft are pleased to offer you a 12-week, 26-lesson course on Machine Learning 101. Explore the details and start learning here!

Data Science for Beginners
A 10-week, 20-lesson course on Data Science from Azure Cloud Advocates at Microsoft. Check out the curriculum and sign up to start learning.


HaGRID - HAnd Gesture Recognition Image Dataset
HaGRID is a large image dataset for hand gesture recognition systems. It can be used for image classification or image detection tasks, to build HGR systems for video conferencing services.

PMData - A lifelogging dataset of 16 persons during 5 months using Fitbit, Google Forms, and PMSys
The PMData dataset combines the traditional lifelogging with sports activity logging. It can enable you to develop various interesting analysis applications. Check out the dataset!

Benchmarking Omni-Vision Representation through the Lens of Visual Realms
Omni-Realm Benchmark (OmniBenchmark) is a diverse and concise benchmark for evaluating pre-trained model generalization across semantic super-concepts/realms.

Dmitry Spodarets profile image
by Dmitry Spodarets

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