Doris Xin
@me_dorx
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I build tools to remove engineering bottlenecks for data science | Berkeley CS PhD | Founder/CEO of Linea (creators of LineaPy)
Joined July 2014
LLM brain chips for cats?
An article in the Wall Street Journal in which I express my opinion on the limitations of LLMs and on the potential power of new architectures capable of understanding the physical world, have persistent memory, can reason and can plan: four features of intelligent behavior that
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Orchestrator: your job started at 3am. Data scientist at 9am: where results?
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Is there such a thing as a DataOps lifecycle or even data pipeline lifecycle in the same way we have codified the MLOps lifecycle?
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What's LineaPy’s secret sauce that lets LineaPy auto-generate Airflow/Kubeflow/Argo/Ray/DVC pipelines from spaghetti DS development code with a couple of simple APIs? Check out our latest blog post, where we take a peek behind the curtains 😉
lineapy.org
When it comes to data science development, a Jupyter Notebook is often the easiest way to go. When the time comes to convert development code into […]
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Why does every new programming language need to invent a new syntax for things that work perfectly well in other languages? Can’t we all just decide to use Python or Swift or whatever as a backbone and augment it only where needed?
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In this Open Source Spotlight, we talked about @lineapy_oss. LineaPy helps to capture, analyze, and transform messy notebooks into data pipelines with just two lines of code. Here is a full demo on how you can use it https://t.co/aWLRR0ckgu
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Excellent list of amazing Python libs in 2022. My favorites are: 1. ChainLang 2. Diffusers 3. Lineapy 4. Mito 5. Marqo 6. TorchRec 7. SetFit 8. Terminal-copilot Lots of fun things to look into tomorrow 🤓😎 https://t.co/wZfHAbghVJ
tryolabs.com
There are so many amazing Python libraries and tools out every year that it's hard to keep track of them all. That's why we share with you our hand-picked selection of our best picks.
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I am recruiting PhD students! If you're interested in the intersection of formal methods and computer architecture/systems research, please apply to @UMichCSE's PhD program and mention my name in your application! RTs to spread the word would be greatly appreciated🙏.
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🤔 How do you scale machine learning across many teams? @lineapy_oss CEO @me_dorx shares her thoughts in the clip below 👇🏽 Check out her full episode on the #MLOpsWeeklyPodcast here: https://t.co/BIuFeJGXDw
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📺 LineaPy LIVE Demo Miss our live team collab demo last Friday? No need to panic!-- watch it here: https://t.co/MuASsPZ9ld Thanks to the community for showing up! We had people tune in from Europe, New Zealand, and across the US 🌎 #OpenSource #DataScience #DataPipelines
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📆 Next Monday, LineaPy is excited to join @anbarth and @cfregly from @awscloud for a webinar on how to go from messy #datascience code to clean data #pipelines with two lines of code. 👉 Deets: Mon Oct 17 @ 9AM PT 👉 Sign up: https://t.co/f9kLi5NqCd See you there!
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Thanks @chakrabartis for the opportunity to reflect on the journey thus far with @lineapy_oss. Hope the lessons we shared can help others get started with their #oss projects. Come to https://t.co/5j3QzIZd9P to learn more about @lineapy_oss!
docs.google.com
Welcome to our workshop! Please take 1 minute to fill out this form. Zoom link and invitation will send out to you shortly. All of your answers are strictly confidential and will not be shared with...
Every data scientist struggles to quickly get their code from development to production. In our next @DecibelVC OSS Spotlight, we chat with @me_dorx on how her open-source project @lineapy_oss is helping data scientists rapidly get to production:
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Want to see LineaPy’s team collab demo live? On Friday Oct 14, we'll walk you through our collab features and show you how to 10x your team’s productivity with reusable pipeline components and lineage tracking. Register here!
docs.google.com
Welcome to our workshop! Please take 1 minute to fill out this form. Zoom link and invitation will send out to you shortly. All of your answers are strictly confidential and will not be shared with...
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🙋 Who has a golden notebook with all your data science recipes and how screwed are you when you see
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🧑🤝🧑 Two (and more) heads are better than one! That’s why we’re excited to introduce a demo for hosting LineaPy for team access👇
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gm! I made a little demo of forecasting regional gas prices as an opportunity to check out a few new packages. (@nixtla's AutoARIMA, @lineapy_oss, and @quarto_pub) https://t.co/ObzjAyrtwX
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