Comet @Cometml Twitter profile

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Comet

@Cometml

2 years

Here is one of the best books to improve your data skills. But don't stop there! Combine your feature engineering skills with automatic experiment tracking, and you'll 10x your ability to build machine learning models that work. Start for free today:

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Comet

@Cometml

1 year

Here is one of the best books to improve your data skills. But don't stop there! Combine your feature engineering skills with automatic experiment tracking, and you'll 10x your ability to build machine learning models that work. Start for free today:

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Comet

@Cometml

2 years

Distance metrics are critical for machine learning. Many algorithms use distance metrics to calculate the similarity between two data points. A few examples: 1. Euclidean distance 2. Manhattan distance 3. Minkowski distance 4. Hamming distance

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Comet

@Cometml

2 years

A critical skill for every Python developer: Learn how to deal with data. Here is a step-by-step example for you: 1. Grab data from multiple locations 2. Automatically load it into a spreadsheet 3. And do it all using Python Here is the link:

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Comet

@Cometml

1 year

Building Machine Learning Systems is a team effort. If you want to build a team, here are the roles you need: • AI Architect • Data Scientist • Data Engineer • Machine Learning Engineer Here is the responsibility of each of these roles:

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Comet

@Cometml

2 years

Experiment Tracking is one of the simplest ways to improve your machine learning setup: • Version your datasets • Debug and reproduce your models • Visualize performance across runs • Collaborate with teammates And here is the best part: 1 of 3

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Comet

@Cometml

1 year

We talked to dozens of Computer Vision practitioners, and their feedback was consistent: Visualizing data is painful during exploratory data analysis. To solve this problem, we built and open-sourced Kangas. And the community loves it!

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Comet

@Cometml

2 years

How do you improve your #DeepLearning setup in two minutes? Integrate your code with "Automatic Logging." A few lines of code, and you'll never go back. Here is how it works: 1 of 5

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Comet

@Cometml

2 years

It’s here! Our first open-source project is now live! Introducing Kangas, a smart data exploration and analysis tool for machine learning. Dive into your data and analyze it like never before.

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Comet

@Cometml

6 years

As a team of programmers aiming to help #machinelearning engineers, this book in progress on ML from @jeremyphoward ( @fastdotai ) + @the_antlr_guy (USF) was a great refresher for us! Both Jeremy and Terence are looking for comments + suggestions!

The Mechanics of Machine Learning

This book is a primer on machine learning for programmers trying to get up to speed quickly.

mlbook.explained.ai

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Comet

@Cometml

2 years

If you're looking for a summary of mathematics for #MachineLearning , this paper is a goldmine! It's 100% free, courtesy of the University of Berkeley, and covers the following topics: • Linear Algebra • Calculus and Optimization • Probabilities

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Comet

@Cometml

2 years

There are 3 fundamental roles in a team dedicated to building a Machine Learning system. But we usually only talk about Machine Learning Engineers. Here are the roles you are missing and their responsibility: 1/4

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Comet

@Cometml

7 months

💥 BIG ANNOUNCEMENT 💥 Today, we’re releasing our LLMOps course, taught by the fantastic @omarsar0 + sponsored by @OpenAI ! We’ve worked with dozens of teams using LLMs + distilled their learnings into this course. Enroll for free now 👇

Comet.ml - Supercharging Machine Learning

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

www.comet.com

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Comet

@Cometml

6 years

Sebastian Ruder ( @seb_ruder ), a research scientist @_aylien , reviews the history of NLP — from sequence-to-sequence learning to adversarial learning See the full history here:

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Comet

@Cometml

3 years

From this week's Comet Newsletter: Our friends over at @huggingface just released a new, completely free video course on transformers and other key #NLP topics.

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Comet

@Cometml

1 year

Most data scientists focus on training models. That's great, but it's only 5% of the work! Building end-to-end systems is hard. Here are 30 requirements for an MLOps environment. Link:

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Comet

@Cometml

3 years

Today, we’re thrilled to announce a $50M series B funding round, led by @OpenViewVenture with participation from @scalevp , @TrilogyEquity , and @TwoSigmaVC ! We also welcome Ofer Bengal & Dr. Oren Etzioni as strategic advisors. Read more in @TechCrunch :

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Comet

@Cometml

1 year

Multimodal datasets are becoming more common in deep learning. Inspired by a seminar at LMU Munich, a team of students and researchers set out to collate existing knowledge and burgeoning approaches. Read more:

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Comet

@Cometml

3 years

Comet + @Gradio = the power to run and test your models directly within your #ML experimentation pipeline. Create powerful model-based GUIs/demos, and include them in your Comet dashboard. 🛠️ Colab Notebook: 📙 Learn more:

Gradio and Comet.ipynb

Colaboratory notebook

colab.research.google.com

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Comet

@Cometml

2 years

Recommender systems are one of the most impactful ML models in production. They influence our everyday decisions, from what news to read to what shoes to buy. Unfortunately, evaluating the performance of these models isn't easy. This is where RecList comes in... 1/4

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Comet

@Cometml

1 year

Data scientists struggle to select the best Machine Learning tool for their project. With so many options, deciding becomes overwhelming, and the wrong choice can kill your project. Here are 9 of the most popular Machine Learning tools in the industry right now:

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Comet

@Cometml

1 year

Introducing a brand new suite of Prompt Engineering tools from Comet! With advanced capabilities like Prompt Playground, Prompt History, Prompt Usage Tracker & seamless integration with OpenAI & LangChain, streamlining LLM workflow was never this easy.

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Comet

@Cometml

1 year

What Is the Machine Learning Lifecycle? There’s no one formula for developing models, but most projects follow standard steps. Here are the top 10 tools to optimize the ML lifecycle.

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Comet

@Cometml

3 years

With the new #StyleGAN3 released, we thought it'd be helpful to have a way to visualize training run outputs—images & videos, but also metrics, hyperparameters, etc. @DN06_90 & Michael Cullan put this #Colab notebook together that does just that 👉

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Comet

@Cometml

5 years

RSVP for our meetup tomorrow with @GuggerSylvain , who will cover an infinitely customizable training loop using @fastdotai — food, beverages, and networking w/ data scientist included! Co-hosted with NYC @PyTorch 🤓

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Comet

@Cometml

4 years

Comet + @huggingface = Debugging transformer models has never been easier. Check out the details of our new auto-logging integration:

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Comet

@Cometml

3 years

If you haven't had the chance to start building #NLP Models, we suggest getting started using this awesome Sentiment Analysis tutorial. You'll learn how to create BERT models using the @huggingface package.

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Comet

@Cometml

3 years

This #BlackHistoryMonth we'll be highlighting some great Black ML & AI contributors. 👇 Deb Raji is a @Mozilla Fellow working on AI accountability & model auditing. Raji has worked on many crucial ML papers like Model Cards. @rajiinio Read her work:

Inioluwa Deborah Raji

Fellow, Mozilla Foundation - Cited by 5,278 - machine learning - evaluation - auditing - algorithms - society

scholar.google.com

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Comet

@Cometml

3 years

We're big fans of @huggingface .🤗 Check out this blog on how to auto-log model metrics and parameters to Comet from the Hugging Face transformers library. #AI #ML

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Comet

@Cometml

5 years

The recording of @SanhEstPasMoi 's talk on productionizing NLP models is up! Check out the awesome work that the @huggingface team is doing with #NLP and #NLG models within conversational AI 🗣 Watch the recording here:

HuggingFace — Bringing state of the art NLP stack for conversational...

This is a recording of a presentation that Victor Sanh gave at a joint NYC AI & ML x NYC Python Meetup on 03/07/2019. Join our NYC AI & ML meetup group to st...

www.youtube.com

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Comet

@Cometml

5 years

With transfer learning, should you use pre-trained models for feature extraction or fine-tuning? @bhutanisanyam1 reviews a great paper from @seb_ruder and @mattthemathman et al to compare how these approaches perform on NLP tasks See the full overview –

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Comet

@Cometml

2 years

The 4 stages of a machine learning project lifecycle: 1. Project scoping 2. Data definition and preparation 3. Model training and error analysis 4. Deployment, monitoring, and maintenance We built Comet to streamline the process. Get started today:

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Comet

@Cometml

3 years

Comet is Growing! Welcome aboard Comet's new Data Science Advocate/Evangelist Ayodele @DataSciBae ! We're excited to have you here creating helpful content for our users. Are you open to roles in #MLOps & helping Data Scientists track their experiments?

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Comet

@Cometml

1 year

Calling all Machine Learning enthusiasts! Mark your calendars for June 22nd, 8 AM PT for a free webinar on LLMOps + Model CI/CD with Comet . Register today for free and unlock the next level in your ML journey: . #webinar #LLMOps #PromptEngineering

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Comet

@Cometml

3 years

🧵 (1/8) ICYMI: Our public #AIArtwork gallery, powered by @kvfrans ' #CLIPDraw , @Gradio , and Comet is live and ready for submissions! 👇TL;DR Submit your prompt: View the project: Full blog post:

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Comet

@Cometml

3 years

🚨 New Comet integration: You can now create a @Gradio demo & include it in your Comet dashboard with just 1 extra line of code, so your team can better understand & explore your #ML models. 🛠️ Colab Notebook: 📄 Learn more:

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Comet

@Cometml

3 years

Thrilled to announce a new partnership with the team over at @gitlab ! Combining GitLab's powerful CI/CD pipeline tools with Comet's experiment management & visualization capabilities, #ML teams can much more effectively streamline their ML workflows. 1/6

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Comet

@Cometml

6 years

is excited to announce our $2.3 million seed round! Huge thanks to @TrilogyEquity @TwoSigmaVC @founderscoop @FathomCapital and Techstars Ventures. We're looking forward to continuing to build the team and the product in 2018 and beyond!

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Comet

@Cometml

6 years

ArXiv Sanity provides a much more manageable interface for the latest ML papers with thumbnails and abstract for preview PLUS recommendations for similar papers! ✍️ Huge kudos to @karpathy for creating this awesome tool!

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Comet

@Cometml

4 years

Today we announced a $4.5MM investment to double-down on Comet Enterprise and Meta Learning capabilities. Read the announcement: #ai #ml #metalearning

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Comet

@Cometml

6 years

A new slide deck from @joelgrus (yes, the "I don't like notebooks" guy of JupyterCon fame) that depicts his long journey to data science + what he still sees as lacking within the discipline today — from proper unit testing to irreproducible workflows.

how becoming not a data scientist made me a better data scientist

how becoming not a data scientist made me a better data scientist Joel Grus @joelgrus Research Engineer, Allen Institute for AI

docs.google.com

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Comet

@Cometml

9 months

🛠️ Prompt Engineering is the most cost-effective strategy to leverage LLMs for your applications. But current prompt engineering workflows are incredibly tedious and cumbersome. 🔥 CometLLM is a new tool that documents all your experimentation with LLMs. 🧵👇

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Comet

@Cometml

1 year

Excited to partner with @LangChainAI and launch our new LLMops product!

LangChain

@LangChainAI

1 year

LangChain 🤝 @Cometml Excited to announce an integration with CometML: they recently added a prompt playground, prompt history (can visualize chains), and prompt usage tracker All needed to help take your LangChain apps from prototype to production

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Comet

@Cometml

1 year

Every bank deals with the same problem: Credit card fraud. Here is a tutorial showing you how to use autoencoders to detect fraud. (Includes the full source code.)

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Comet

@Cometml

6 years

Voted #3 up-and-coming NYC enterprise startup!

TechCrunch

@TechCrunch

6 years

Up-and-coming enterprise startups in NYC by @DannyCrichton

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Comet

@Cometml

5 years

To deal with the subjective rules of grammar, Google uses machine translation models to suggest corrections. These models work by treating text with incorrect grammar as the “source” language and correct grammar as the “target.” Read on here —

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Comet

@Cometml

5 years

This project from Victor Sanh ( @SanhEstPasMoi ) and the @huggingface face blew us away🔥 The Hierarchical Multi-Task Learning (HTML) model can learn embeddings that can be shared between different semantic tasks See the demo here —

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Comet

@Cometml

2 years

Kangas is still in its early days, but super excited to see this growth. We've gotten code contributions and stars from MLEs at companies such as Dell EMC, IBM, Oracle, LEGO, Wix, Google, Autodesk, Docusign, and more! Try it out:

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Comet

@Cometml

2 years

🚀 We're excited to announce another excellent integration with Comet -- @raydistributed ! Leverage Comet's experiment tracking and visualization tools with Ray's incredible library for scaling compute intensive Machine Learning workloads.

New Integration: Comet and Ray

Seamlessly Track and Scale your Machine Learning Workflows

heartbeat.comet.ml

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Comet

@Cometml

1 year

How do you improve your #DeepLearning setup in two minutes? Integrate your code with "Automatic Logging." A few lines of code, and you'll never go back. Here is how it works: 1 of 5

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Comet

@Cometml

7 months

Today in Heartbeat: With @LangChainAI 's LCEL, users can adopt a declarative approach to chain composition, facilitating operations like streaming, batch processing, and asynchronous tasks. Learn more in this guide from @DataScienceHarp :

Introducing LCEL: A Guide to LangChain Expression Language

Streamlining Text Processing and Interaction with Advanced Language Models.

heartbeat.comet.ml

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Comet

@Cometml

2 years

Today in Heartbeat: Omale Happiness uses Python to develop a supervised learning text classification model that can predict the sentiment category of a sentence, and builds an interactive web application that displays the result to the users.

Deploying a Text Classification Model in Python

Using basic NLP principles to build a sentiment analysis model and deploy it with Streamlit

heartbeat.comet.ml

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Comet

@Cometml

1 year

Today in Heartbeat: With the rise of #LLMs like #ChatGPT and #Bard , a new, lucrative field has emerged. #PromptEngineering is the art of guiding language models with clear, detailed, and well-structured prompts. @BasakBuluz explains more here:

Prompt Engineering

An introduction to “the career of the future”

heartbeat.comet.ml

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Comet

@Cometml

3 years

🚨 Upcoming MeetUp! We're restarting our industry Q&A series next Monday, July 26th, at 11am ET. We’ll be chatting about collaborative #ML tools with @jakubjurovych of @deepnotehq & @abidlabs of @Gradio . 👉 Register for free, & bring your questions!

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Comet

@Cometml

5 years

Truly amazing work by Jonathan Barron from @GoogleAI Check out his presentation on an adaptive loss function that automatically adapts the robustness of the loss during model training

"A General and Adaptive Robust Loss Function" Jonathan T. Barron,...

arXiv: https://arxiv.org/abs/1701.03077TensorFlow code: https://github.com/google-research/google-research/tree/master/robust_lossJAX code: https://github.co...

www.youtube.com

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Comet

@Cometml

5 years

Very cool app (and end-to-end machine learning pipeline) idea for automatically tagging Github issues! Hooks together the Github API, BigQuery, Flask + more and tested with the @kubeflow repo 🏷 See the full run down from @HamelHusain and team here:

How to Automate Tasks on GitHub With Machine Learning for Fun and Profit

A tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.

towardsdatascience.com

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Comet

@Cometml

5 years

Comet ML partners with @Uber AI on Ludwig allowing users to track Ludwig-based experiments live as they are training. Ludwig is a no-code deep learning toolbox developed by Uber. Read the announcement and get started with Comet and Ludwig today:

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Comet

@Cometml

1 year

Object detection is the most popular application of computer vision. But how can you systematically find the best object detection model for a particular task? Check the thread for the full-code tutorial using TorchVision.

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Comet

@Cometml

5 years

Love these @feedly NLP virtual breakfasts! The latest edition with @SanhEstPasMoi of @huggingface on Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks is excellent 🚀

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Comet

@Cometml

4 years

Proud to be part of #CodeCarbon , an amazing initiative with @Mila_Quebec , @BCG , and @haverfordedu , that will help organizations measure the environmental impact of #AI . Learn more about this incredible work:

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Comet

@Cometml

5 years

Can AutoML match hand-crafted machine learning models? Adrian Rosebrock ( @PyImageSearch ) puts Auto-Keras to the test in this great classification tutorial See the full post here —

Auto-Keras and AutoML: A Getting Started Guide - PyImageSearch

In this tutorial, you will learn about Auto-Keras and AutoML for automated machine learning and deep learning. You will also learn how to use the Auto-Keras Python package.

pyimagesearch.com

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Comet

@Cometml

5 years

Congratulations to @FrancescoLocat8 and team for their Best Paper Award at ICML 2019 Check out the blog post explaining their paper "Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations"

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Comet

@Cometml

1 year

It's an illusion 👻 ADSPLTech7512 on reddit. #MondayMeme

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Comet

@Cometml

1 month

We are incredibly excited to announce our new short course with @DeepLearningAI : 🚀 Prompt Engineering for Vision Models 🚀

Andrew Ng

@AndrewYNg

1 month

In Prompt Engineering for Vision Models, taught by @anmorgan2414 @JacquesVerre and @KaiserFrose of @Cometml , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for

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Comet

@Cometml

5 years

Can a Neural Network's architecture alone encode a solution to a task without learning any weights? @hardmaru and Adam Gaier investigate.

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Comet

@Cometml

1 year

🔥In a continued effort to close the gap between Data and Experiment Management, we are very excited to announce a new partnership with #Snowflake ! ❄️ Comet now offers support for tracking and versioning SQL queries, as well as logging sample DataFrames!

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Comet

@Cometml

1 year

Introducing a brand new suite of Prompt Engineering tools from Comet! With advanced capabilities like Prompt Playground, Prompt History, Prompt Usage Tracker & seamless integration with OpenAI & LangChain, streamlining LLM workflow was never this easy. :

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Comet

@Cometml

2 years

Want to see a neat trick on how to log an interactive plot in Comet? Let's say you have a ploty figure called py_fig Use the following command in your code! experiment.log_html(py_fig.to_html()) Then go to the HTML section to see your interactive plot 💪

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Comet

@Cometml

5 years

RSVP for our next Meetup to hear speakers from @XaxisTweets , @huggingface , and @runwayml discuss productionizing machine learning models! See the full details for March 7th here:

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Comet

@Cometml

2 years

Today in Heartbeat: Jeremiah Oluseye uses Logistic Regression to detect credit card fraud with an imbalanced dataset.

Detecting Credit Card Fraud With Machine Learning

Using Logistic Regression to detect credit card fraud with an imbalanced dataset

heartbeat.comet.ml

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Comet

@Cometml

1 year

Unlock the true potential of your ML workflows like Shopify did with Comet's Model Registry and Experiment tracking tool. Learn how Shopify served machine learning models across multiple teams with a robust solution for real-time predictions.

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Comet

@Cometml

5 years

Welcome to Friday! To celebrate, we like looking at machine learning memes — thanks to @ericjang11 for curating 🤓 (and the rest of his blog is pretty spectacular)

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Comet

@Cometml

1 year

Building an end-to-end Machine Learning system is much more than training a good model. Here are 8 essential areas you need to cover:

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Comet

@Cometml

1 year

We built a few cool integrations during 2022: • YOLOv5 • Metaflow • SpaCy • Catalyst • Anomalib • RecList • Ray • Pythae • Run:ai @Cometml now works with some of the most popular machine learning libraries and frameworks out there!

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Comet

@Cometml

5 years

Awesome to present first tonight about @Cometml at #DataDrivenNYC with @firstmarkcap + @mattturck @gidim is first up! 🌟

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Comet

@Cometml

5 years

Our NY AI & ML meetup with @enigma_data is off to a great start! Jarrod Parker explains knowledge graphs and ontology mapping to our members tonight 🤓

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Comet

@Cometml

4 years

Don’t miss your chance to hear from some of the top minds in #AI on how they address new challenges in #machinelearning . Register for tomorrow’s all-star panel with @GoogleAI , @huggingface , and Stanford's @w4nderlus7 here:

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Comet

@Cometml

5 years

Interviewing teams with a mission to reproduce the latest in machine learning research. Hear from @robert_aduviri and @alfo_512 who share an interest in generative models and machine learning competitions. #machinelearning #datascience #reproduce

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Comet

@Cometml

1 year

#FoundationModels aren’t perfect for every use case; they know a little about a lot, but many real-world #AI applications need to know a lot about a little Learn how Autodistill lets you benefit from these massive models without deploying them explicitly:

GitHub - autodistill/autodistill: Images to inference with no labeling (use foundation models to...

Images to inference with no labeling (use foundation models to train supervised models). - autodistill/autodistill

github.com

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Comet

@Cometml

1 year

Our Model Production Monitoring gives you access to 3 fundamental levers: 1. Identify if your model is struggling 2. Track drift across inputs and outputs 3. Get alerts if anything is wrong Check this out:

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Comet

@Cometml

1 year

Calling all Machine Learning enthusiasts! Mark your calendars for June 22nd, 8 AM PT for a free webinar on LLMOps + Model CI/CD with Comet . Register today for free and unlock the next level in your ML journey: . #webinar #LLMOps #PromptEngineering

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Comet

@Cometml

2 years

Any ML engineer should be using these tools: Google Colab, @huggingface transformers, Comet, Scikit-Learn, and PyTorch. See @Comejoinfolks use all of the above to build a text classification model.

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Comet

@Cometml

1 year

#ControlNet is a tool for #StableDiffusion ’s web UI that fuses art with QR codes. Although these codes are sometimes practically invisible to the naked eye, they are all still fully functional. Check out the repo to start making your own:

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Comet

@Cometml

3 years

🎉 Super excited today to welcome Harpreet Sahota ( @ArtistsOfData ) to the Comet fam as a Data Scientist on the #Growth team! We're so thrilled to build with you. And be on the lookout for all kinds of awesome content, projects, and more from Harpreet and the rest of our team.

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Comet

@Cometml

1 year

This article will show you how to: 1. Finetune TorchVision’s pre-trained models 2. Handle different image annotation formats 3. Calculate evaluation metrics for object detection 4. Compare different object detection models

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Comet

@Cometml

2 years

Our second big announcement this week! We are excited to announce Comet has been recognized as a 2022 @Gartner_inc Cool Vendor.

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Comet

@Cometml

4 years

Join us for our MEETUP with @huggingface on running large scale state-of-the-art NLP models with @SanhEstPasMoi and @MorganFunto ! On top of building one of the best NLP libraries out there HuggingFace also uses Comet for experimentation and optimization!

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Comet

@Cometml

2 years

🎙️ #ConvergenceConference speaker announcement! @ShivikaKBisen , Lead Data Scientist at @PAXAFE1 , who will present "Testing ML models for production" at Convergence on March 2. Register now to catch this and all the other great talks!

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Comet

@Cometml

9 months

Today in Heartbeat: a deep dive into the challenges of deep learning in software development. Learn more in Daniel Onugha's new article:

Deep Learning Challenges in Software Development

Deep learning is a branch of machine learning that makes use of neural networks with numerous layers to discover intricate data patterns…

heartbeat.comet.ml

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Comet

@Cometml

6 years

#1 on @ProductHunt ! Thanks you for all your support!

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Comet

@Cometml

10 months

💬 Unlike traditional machine learning projects, #LargeLanguageModel evaluation requires extensive logging of prompts, prompt templates, responses, tags, and other metadata. 🤯 This can make tracking the performance of #LLMs in real-time especially challenging. 🔎 Comet helps

elvis

@omarsar0

10 months

When building with LLMs, you will spend a lot of time optimizing prompts and diagnosing LLMs. As you put your solutions into production, you need LLMOps tools to track LLMs and analyze prompts. Here is a demo of how this process might look (use case included): Step 1 - The

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Comet

@Cometml

4 years

Excited to have @SanhEstPasMoi and the @huggingface team to speak about their amazing work!

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Comet

@Cometml

4 years

While every #machinelearning and #ai project is different, there are still common pitfalls. Where are they? And how do you address them? Watch Part II of our Industry Q&A with @huggingface , @GoogleAI , and @ludwig_ai to find out:

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Comet

@Cometml

10 months

🚩Interested in how software engineers at Google use #Protobufs and #TFRecords to optimize their #DeepLearning pipelines? 🚩Check out this end-to-end tutorial with a deep-dive on everything you ever wanted (and didn’t want) to learn about Protobufs!

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Comet

@Cometml

3 years

📰 Exciting news! We've launched the Comet Newsletter, a weekly dive into #ML industry news, projects, resources, & more—along with some unique perspective from our team of experts! Check out the 1st issue and subscribe—we've got some big things planned!

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Comet

@Cometml

2 years

Just announced: New integrations with @raydistributed , @kubeflow , and Google Vertex AI strengthen Comet as the only combined experiment management and model production monitoring solution with true enterprise scalability and extensibility. Read more here:

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Comet

@Cometml

6 years

If great scientists had a logo.

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Comet

@Cometml

4 years

Congratulations to our investors and friends at @TwoSigmaVC on closing their third fund!

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Comet

@Cometml

6 years

A huge thanks to @nycmedialab for hosting us at Machines + Media 2018 earlier this month! Watch our CEO give a pitch on how Comet is the future of #machinelearning management!

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Comet

@Cometml

1 year

Data Science teams are most effective when each part of the data science hierarchy pyramid is covered. So who makes up a Data Science Team and what skills do they need? Learn more from @iremkomurcu .

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