We’re thrilled to be attending #icml2024 in Vienna later this month, and can’t wait for the chance to connect and collaborate with peers in the data science community! With an impressive list of speakers including Soumith Chintala and Chelsea Finn, cutting-edge papers, and engaging workshops, it’s going to be a great opportunity to learn from the best in our field. Come visit us at booth #310 to meet the Comet team and learn how you can simplify your machine learning workflow while enhancing collaboration and model explainability. Check out more details on the conference here: https://icml.cc/
Comet
Software Development
New York, NY 12,273 followers
Build better models, faster
About us
Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.
- Website
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https://www.comet.com
External link for Comet
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Machine Learning, Data Science, Developer Tools, and Software
Products
![Click here to view Comet]()
Comet
Data Science & Machine Learning Platforms
Comet is an MLOps platform that combines best-in-class Experiment Management, Model Registry, Model Production Monitoring, and Prompt Engineering tools. Use Comet for model reproducibility, model debugging, model visibility, and model monitoring, to help your ML teams build better models, faster. By standardizing model governance and building a culture of explainable AI, teams that use Comet are well-equipped to handle the full model lifecycle, whether they're using traditional machine learning techniques, deep learning, or large language models (LLMs). The best part? Comet is free for individuals and academics!
Locations
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Primary
Get directions
100 6th Ave
New York, NY 10013, US
Employees at Comet
Updates
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Hey San Francisco! Join us just one week from today on the 18th for a new professional meetup featuring AI researcher Margarita Geleta. Margarita will be diving into: 💡Cutting-edge ancestry inference methods 📈Kinship prediction 🧬Potential biomedical research and forensics applications Grab your spot: https://lnkd.in/d4kMRut5 Special thanks to Six Spoke Media & Alloy Collective for partnering with us on this meetup and hosting us in a fantastic location in downtown SF. #machinelearning #MLOps
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🚀 We’re excited to announce a new technical happy hour for machine learning practitioners in San Francisco! Join us on Thursday, July 18th from 6pm-8pm to hear Margarita’s talk, “How AI Unlocks the Ancestral Story: Advanced Methods in Population Genetics.” 🍕 Register for free for an evening of learning, pizza, and beer: https://lnkd.in/d4kMRut5 #MLOps #GenerativeAI #AI
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It was an honor to pool our knowledge and build out this free course with DeepLearning.AI. We invite anyone getting started or working with #computervision to enroll for free: https://lnkd.in/esittwEJ With practical examples using Meta’s Segment Anything Model (SAM), a universal image segmentation model, OWL-ViT, a zero-shot object detection model, Stable Diffusion 2.0, a widely used diffusion model, and more, there's plenty to borrow and apply for your own workflows and goals.
In Prompt Engineering for Vision Models, taught by Comet's Abby Morgan, Jacques Verré, and Caleb Kaiser, you’ll learn how to prompt and fine-tune vision models for image generation, image editing, object detection, and segmentation. You'll use OWL-ViT to detect an object from a text prompt, then pass the bounding box to SAM to create a segmentation mask. Finally, feed the mask into Stable Diffusion with another text prompt to replace the original object. Sign up for free: https://lnkd.in/esittwEJ
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💡 Some great points here from Santiago Valdarrama responding to Comet's Douglas Blank on how thinking, experimentation, and communication intersect with coding in Jupyter Notebooks!
I tell stories about technology and teach hard-core Machine Learning at ml.school.
On why you should use Jupyter Notebooks: "Notebooks are a great way to tell a story, and telling stories is what all fields should be about. Especially computer science." This is from an interview with Doug Blank, Head of Research at @cometml. He continues: "To me, a Jupyter notebook is a blank sheet of paper. You can write a story in it. And if you change the name of one of the characters in paragraph one, you have to change the name of the character throughout the whole story." People often tell me they don't like notebooks because people write bad code in them. Nonsense. Bad developers write bad code. Notebooks have nothing to do with that. "Some educators feel that it's too open-ended and too flexible, but I disagree — it's a new way of doing computing (...)." I always recommend that developers learn how to use notebooks. Not as their primary way of writing software but as an alternative tool they can use to experiment, troubleshoot, and become more effective at their work. The math in my head is simple: A developer who knows how to use notebooks effectively is better than a developer who doesn't. Notebooks aren't a replacement for what you do. They are a boost. The rest of the interview is pretty good: https://lnkd.in/e7ezJsx7
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Yamas! Last week, the Comet team came together for an unforgettable week in Athens, Greece. As a remote-first company spread across 13 countries, in-person offsites play a huge role in helping us reconnect and recharge as a team. Over the course of the week, as Cometeers, we immersed ourselves in Greek culture and cuisine, bonded over shared hobbies and talents, and developed leadership skills while solidifying our shared vision. #CometGoingGreek
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Attending #CVPR2024 in Seattle this week? We can’t wait to join Intel AI at their CVPR Networking Meetup this Thursday, June 20th, from 7-10pm. Grab some food and drinks while networking with other CVPR attendees, academics, developers, and executives, along with teams from OpenCV and Voxel51. While you’re there don’t miss out on Comet’s demo: Text-to-Image Inpainting with SAM and Stable Diffusion. Find out more and register on the event page: https://lu.ma/gmtd0rgy Special thanks to Intel for partnering with us on this great meetup. #machinelearning #IEEECS #computervision
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Comet's own Head of Research, Douglas Blank, and VP of Strategic Accounts, Nikolas Laskaris, gave a guest lecture at Massachusetts Institute of Technology earlier this year for Introduction to Deep Learning 6.S191. They spoke about building #AI in the wild and set out to answer two important questions: 1. What are some of the unique challenges that arise when taking AI models to production? 2. What are some of the emerging challenges of using #LLMs for real-world use cases? 📺 Watch the full lecture on YouTube: https://lnkd.in/edKjgCdj 👩💻 Get all the slides and lab materials at: IntroToDeepLearning.com 🚀 Special thanks to Ava Amini and Alexander Amini for all of the hard work that went into building this course!
MIT 6.S191: Building AI Models in the Wild
https://www.youtube.com/
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Comet’s Head of Research, Douglas Blank, has spent decades conducting research on what it means for a computer program to think and how robots can learn. He recently sat down with Harald Carlens to discuss some of his learnings in the fields of cognitive science, developmental robotics, and #ArtificialIntelligence. From (arguably) the first neural network coded in #Python, to what makes #ML competitions valuable, to Douglas Hofstadter’s “Strange Loop,” and whether or not Jupyter notebooks are actually useful, they cover it all. 👉 Read the full article from ML Contests: https://lnkd.in/dU63RXuX
Interview with Doug Blank, Head of Research at Comet | ML Contests
mlcontests.com