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Explore Comet

Kristen Kehrer

·1 day ago


OBJECT DETECTION USING YOLOV5 AND SENDING ALERTS

You’ve made it to the third and final part of bus detection with YOLOv5
tutorial! If you haven’t been following along this whole time, you can read
about the camera setup, data collection and annotation process here. The second
part of the tutorial focused on getting the data out of…

Yolov 5

6 min read



Yolov 5

6 min read





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Ibrahim Ogunbiyi

·2 days ago


INTRODUCTION TO ARTIFACTS IN COMET

When conducting machine learning (ML) experiments, often you’re in an ML
hackathon or you’re building ML solutions for an organization. You will probably
want to make sure you keep track of some pieces of the block that are involved
in that experiment. For example, the dataset used, model types, etc…

Heartbeat

3 min read



Heartbeat

3 min read





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Adrien payong

·4 days ago


EXBERT: A VISUAL REPRESENTATION OF ATTENTION HEADS

Introduction — In various areas of Natural Language Processing (NLP), including
machine translation and text summarization, neural networks based on the
Transformer design have shown remarkable progress. The Transformer relies on
“multi-head attention” to route the model’s thinking, and its adaptability
enables it to be pre-trained on large corpora to build contextual
representations…

Heartbeat

5 min read



Heartbeat

5 min read





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Shittu Olumide Ayodeji

·Jan 12


HOW TO LOG YOUR KERAS DEEP LEARNING EXPERIMENTS WITH COMET

Overview Let us start by asking ourselves some questions: Have you ever wondered
how Google’s translation app can instantly convert entire paragraphs between two
languages? How do Netflix and YouTube know what movies or videos we like, and
how do they provide suitable recommendations? Or how do autonomous vehicles even
become…

Comet

6 min read



Comet

6 min read





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Başak Buluz Kömeçoğlu

·Jan 4


PYTHAE + COMET

Application: Reconstructing MNIST dataset images — The Pythae library, which
brings together many Variational Autoencoder models and enables researchers to
make comparisons and conduct reproducible research, is now integrated with Comet
ML! The Comet ML experiment tracking tool is very useful for researchers to
store their experiment configs, track their training, and compare the results
in…

Autoencoder

3 min read



Autoencoder

3 min read





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Oluseye Jeremiah

·Jan 3


EXPLORING IMAGE CLASSIFICATION WITH KANGAS

Using Kangas Server for Image Classification — Data developers have always had
trouble working with large datasets, and this difficulty still exists in the
modern data industry. It is no longer necessary to worry about how to run a
dataset with millions of images without crashing the notebook because the team
at Comet have created a…

Heartbeat

4 min read



Heartbeat

4 min read





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Emilie Lewis

·Dec 22, 2022


HEARTBEAT 2022 WRAP-UP

The top articles of the year — 2022 was a big year at Heartbeat — at the end of
2021 the publication was acquired by Comet, a leader in MLOps, and since then
we’ve continued to put out amazing content each week focusing on machine
learning, deep learning, and MLOps. While the new acquisition meant a slight…

Heartbeat

3 min read



Heartbeat

3 min read





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Emilie Lewis

·Dec 22, 2022


2022 COMET WRAP-UP

The best news and product releases — 2022 was a big year for Comet! Not only did
we release our very first open-source tool, but we were named a Gartner Cool
Vendor, expanded the team by 50+ folks, and added multiple integrations. Here’s
a wrap-up of the most exciting year in Comet’s history! Kangas Release

Comet

5 min read



Comet

5 min read





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Ann Wambui

·Dec 21, 2022


BEST OF MACHINE LEARNING IN 2022: REDDIT EDITION

A look at the most popular projects, discussions, research papers, demos, and
more from r/MachineLearning over the past year — Here is a list of top projects
in the past year from the machine learning subreddit. The descriptions are as
provided by the post authors or the paper abstracts. I made a robot that
punishes me if it detects that if I am procrastinating on my assignments (3.7K
⬆️) Speech-to-speech translation for a real-world unwritten language (2.8K ⬆️)

Reddit

16 min read



Reddit

16 min read





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İrem Kömürcü

·Dec 21, 2022


DATA SCIENCE AND DATA SCIENCE HIERARCHY

Data is the most important and popular resource today. Applications, artificial
intelligence products, games, customer services, marketing trends, social media,
and more provide us with data and create a large data pool by taking data from
us. Big Data is the science of data that is concerned with collecting, storing…

Data Science

7 min read



Data Science

7 min read





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Timothy Lu

·Dec 20, 2022


PROBLEM-SOLVING CODE AS A DATA SCIENTIST

Data scientists might not be software engineers but we do our own fair share of
coding! From creating beautiful visualizations to building our neural network
models, it all starts with code. Maybe you’ve just begun your data science
journey or you’re a seasoned vet, but sometimes the hardest part of…

Data Science

9 min read



Data Science

9 min read





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Kaan Boke Ph.D.

·Dec 20, 2022


YOUR APP IS ON THE CLOUD | MLOPS PIPELINE WITH AWS BEANSTALK & GITHUB ACTIONS

In this article, you’ll deploy your Flask Application to AWS Beanstalk with
GitHub Actions. You’ll implement the MLOps pipeline with continuous integration
and deployment, all using easy-to-follow, step-by-step explanations.
Introduction In the previous article in this series, we discussed two different
ways to upload Flask applications to AWS Beanstalk. First, we…

Mlops

7 min read



Mlops

7 min read





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Harpreet Sahota

·Dec 19, 2022


A BETTER WAY TO TRAIN YOUR NEURAL NETWORKS

Five tips from experts in deep learning and computer vision — I asked a dozen
deep learning legends at Deci AI to share their favorite neural network training
tips… These 5 came up most frequently: Exponential moving average Weight
averaging Batch accumulation Precise batchnorm Zero weight decay on batch norm
and bias Let me break these down for you…

Deep Learning

6 min read



Deep Learning

6 min read





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Adhing'a Fredrick

·Dec 16, 2022


FEDERATED LEARNING FOR TABULAR DATA USING FLOWER FRAMEWORK

With advancements in AI development, the major issue facing the AI community is
dealing with users’ data privacy and security concerns. Users demand that their
privacy be respected by not using data but good Machine Learning models require
lots of data. …

Heartbeat

9 min read



Heartbeat

9 min read





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Agun Emmanuel Olakunle

·Dec 16, 2022


PREDICTING DIABETES DISEASE WITH EVALML (AUTOML)

According to W.H.O, in 2014, 8.5% of adults aged 18 years and older had
diabetes. 1.5 million deaths were directly related to diabetes in 2019, and 48%
occurred in those under 70 years old. …

Machine Learning

9 min read



Machine Learning

9 min read





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Pragati Baheti

·Dec 15, 2022


BERT: STATE-OF-THE-ART MODEL FOR NATURAL LANGUAGE PROCESSING

BERT is among those developments proposed by the Google research team that
shifted machine learning standards by demonstrating outstanding results in NLP
tasks like question-answering in chatbot applications, computer translation,
language interpretation, next sentence prediction, and much, much more. Overview
BERT (Bidirectional Encoder representation from Transformers) is an open-source
machine learning…

NLP

8 min read



NLP

8 min read





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Kaustubhverma

·Dec 14, 2022


IMPLEMENTING DATA SCIENCE IN POWER BI

When the internet is in usage, a lot of raw data gets generated online with the
current estimation of around 1.145 trillion MB per day. Many industries rely on
this data for obtaining important pieces of information when making decisions
around sales and revenue. The Data Scientist(s) work on the…

Heartbeat

6 min read



Heartbeat

6 min read





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Harpreet Sahota

·Dec 13, 2022


RESNET: HOW ONE PAPER CHANGED DEEP LEARNING FOREVER

Learn how this paper tackled two of deep learnings biggest challenges plus code
along to see it in action — In December of 2015 a paper was published that
rocked the deep learning world. Widely regarded as one of the most influential
papers in modern deep learning, it has been cited over 110,000 times. …

Computer Vision

12 min read



Computer Vision

12 min read





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Khushboo Kumari

·Dec 13, 2022


WHAT IS CONTRACT AI?

And how can you use it automate contract reviews? — Introduction A crucial
aspect of the business is contract management. The American National Association
of Purchasing Managers estimates that the turnover of thousands of the largest
corporations in the world involves between 20 and 40 thousand contracts
annually. 10% of contracts are still maintained in paper form, which makes them
challenging…

Artificial Intelligence

6 min read



Artificial Intelligence

6 min read





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Shittu Olumide Ayodeji

·Dec 12, 2022


USING COMET EFFECTIVELY IN A STARTUP

Overview Businesses of all sizes, from global powerhouses like Netflix and
Amazon, to a single tiny retail outlet, work to expand and increase
productivity. One method is to include AI and machine learning in operations.
Artificial intelligence is assuming dominance with its pervasive presence in
every industry and business endeavor. AI…

Comet

2 min read



Comet

2 min read





Comet is a machine learning platform helping data scientists, ML engineers, and
deep learning engineers build better models faster

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EMILIE LEWIS

Content and Community Manager @ Comet

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GIDEON MENDELS

Co-founder/CEO of Comet.ml — a machine learning experimentation platform helping
data scientists track, compare, explain, reproduce ML experiments.

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