Machine Learning REPA

Machine Learning REPA:
Reproducibility, Experiments and Pipelines Automation

[Machine Learning REPA @mlrepa]

This week at ML REPA, we're organizing an online meetup-workshop titled "Talking with AI."

➡️ Learn how build and use your own AI Agents

Join us: Event Link https://t.co/UvxrxAhgIw 🤖📣

[🦉DVC @DVCorg]

Try it out and give us some feedback!
🧵 7/7

⭐️ https://t.co/CjY1NTDxRD ⭐️

[🦉DVC @DVCorg]

Dataset curation using AI annotations.
🧵 6/7

[🦉DVC @DVCorg]

🔗 DataChain open-source release

🤖 AI-Driven Data Curation: Local models, LLM APIs
🚀 GenAI Dataset scale: Millions and billions of files
🐍 Python-friendly: Python objects instead of JSON

Try it out https://t.co/CjY1NTDxRD

👇1/7

[Mikhail Rozhkov @mnrozhkov]

🎉 Congratulations to my team for launching their amazing DVC extension for VS Code on Product Hunt!
GitOps ML just got a whole lot friendlier with this gem! 🚀🤖🪙

Support us - add your thoughts on PH 🙏

Let's show some support – check it out here: https://t.co/mnPrWFmW3v

[🦉DVC @DVCorg]

This is an article that provides an in-depth analysis of seamlessly integrating @skypilot_org and DVC to streamline the training process for substantial machine learning models; this scope even encompasses large language models (LLMs).

Link - https://t.co/ZgJWhKYkMT

[Machine Learning REPA @mlrepa]

@elenasamuylova Great news 👍 Thank you @EvidentlyAI for this exciting updates 🚀🙏🎂

[Elena Samuylova @elenasamuylova]

🚀 Evidently 0.4!

Self-host a dashboard to monitor ML in production.

Our Python library with 3m+ downloads now has a proper UI!
📚 100+ data and model checks
🔡 From tabular to LLMs
✅ Open-source!

GitHub: https://t.co/0EXnze0UPe
Tutorial: https://t.co/cLNeU5xwtH

Details 👇

[Evidently AI @EvidentlyAI]

How to set up an ML monitoring system for models deployed with @FastAPI?

⚡️ Create a FastAPI application to serve predictions
🔢 Log them to a PostgreSQL database
📊 Create an Evidently monitoring dashboard to track ML model performance

Code tutorial 👇
https://t.co/jErJIyufip

[Evidently AI @EvidentlyAI]

🛠 How do top engineering teams apply ML to improve products and processes?

We put together a list of 200 case studies that share practical ML use cases and learnings from designing ML systems: https://t.co/Ipe0L1OfB8

Here are our five favorites 👇

1/7 🧵

[Evidently AI @EvidentlyAI]

📌 In case you missed it

How do different companies start and scale their MLOps practices?

Here is how Wayflyer creates model cards with open-source tools and incorporates data quality and drift analysis 📈

Read the full story:
https://t.co/0U8w40VSjc

[Machine Learning REPA @mlrepa]

🎉 We are thrilled to announce the launch of our free community course, git-101: "Git for Machine Learning and AI Development" at ML REPA School! 🌟

🌟 Join us at ML REPA School and unlock the power of Git for your ML and AI projects today! https://t.co/REuJwFPsEA

#mlrepa #ml

[Machine Learning REPA @mlrepa]

🚀 Introducing ML REPA Library, a new community project focusing on ML engineering, reproducibility, and automation.

ML REPA Library: https://t.co/piDnZsUvPe

Kudos to the first contributors! 🙌 😍 🙏 Check the link above ⬆

#MLREPALibrary #mlrepa #CommunityProject

[Mikhail Rozhkov @mnrozhkov]

📣 Great news! Post “Managing OpenFOAM Physical Simulations with DVC, CML, and Studio”(part 2) is alive! 🚀

Link: https://t.co/dhUyG0jsNF

#dvc #simulations #openfoam #cml #AWS

[🦉DVC @DVCorg]

🧑‍💻 Batch Scoring by @mnrozhkov

🌐 @mnrozhkov pens a must-read blog 💻 on "Automating Your ML Pipeline."

#Airflow #DVC #CML #BatchScoring

https://t.co/DYzmxtF6xa

🧵[6/7]

[Machine Learning REPA @mlrepa]

📺 The video “Optimizing Image Segmentation Projects with DVC” by @alex000kim , is ready! 🚀

It was a great talk about DVC, DVCLive, VSCode extension for DVC, and Iterative Studio! Take a look:

Video: https://t.co/MgoBwlk8BQ

#mlrepa #dvc #computervision #vscode

[Machine Learning REPA @mlrepa]

📺 Exciting news! The video “Automated Deployment Pipelines: Running CV Models at the Edge” by Bradley Munday, is ready!

Video: https://t.co/dgeyCqwEMI

Want to join us? 🙌 Follow the links below 👇
🔗 LinkedIn: https://t.co/TQDVuF2tV6

[Mikhail Rozhkov @mnrozhkov]

Hey! "Automated Deployment Pipelines: Running CV Models at the Edge" - is the topic of the meetup tomorrow! 🎉 🗓

You are welcome to join us with Bradley Munday, Head of ML Engineering at Modzy  🙌 https://t.co/12gcXcl27k

[LineaPy @lineapy_oss]

Data scientists, meet LineaPy!

Just two lines of #opensource code captures, analyzes, and transforms messy #datascience development code to extract production data pipelines in minutes. No refactoring or new tools needed. https://t.co/dFeg6Y7i7X

[Machine Learning REPA @mlrepa]

📢 Exciting news! The video on “Streamlit for ML projects: Monitoring dashboards with Evidently” by Mikhail Rozhkov is ready!

Video: https://t.co/RsnHQINxUW

#mlrepa #community #mlops #machinelearning #datascience #ai @EvidentlyAI