DVCorg

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We create open-source and SaaS developer tools dedicated to advancing machine learning data management. Our journey began with the creation of DVC, that is n...

Latest Videos

A New Chapter for DVC Passing the Torch to lakeFS

How to Debug Plot Errors in the DVC Extension for VS Code

DVC + Git LFS for Seamless Hugging Face Model and Data Versioning

How to NOT get ML Models into Production - Ryan Turner Lightning Talk at MLOps World 2023

Great Practices for Retrieval Augmented Generation (RAG) in Production

Applying GitOps Principles at Every Step of an E2E MLOps Project - A Workshop

DVC Extension for VS Code launches in Product Hunt! 🎉

How to Turn Your IDE into a Machine Learning Experimentation Platform with the DVC ext for VS Code

DVC Extension for VS Code Product Update How to Filter Experiments by Git Tags

DVC Extension for VS Code Product Update Selecting Multiple Files and Metrics in Plots Wizard

MLOps The Strategic Compass for AI-Driven Enterprises - Diego Kiedanski at MLOps Community Seattle

DVC Extension for VS Code Product Update and Community Contribution Renaming Experiments

DVC Extension for VS Code Product Update Sort Commits and Experiments by Metrics

DVC Extension for VS Code Update Plots Wizard

Empowering Fast and Reproducible Machine Learning - Denis Stalz-John at Dida Conference 2023

DVC Extension for VS Code Product Update Zoom and Pan on Focused Plots

DVC in Machine Learning Engineering and MLOps Practices

DVC Extension for VS Code Update Epoch Step Slider for Deep Learning Plots

ZnTrack DVC Machine Learning Pipelines in Python and Jupyter Notebooks

Data Versioning Towards Reproducibility in Machine Learning - Nicolás Eiris - TryoLabs

Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments

Machine Learning Experiment Tracking with VS Code, Git, and DVC

DVC Extension for VS Code How to Organize Columns in the ML Experiments Table

From Notebook to Pipeline in No Time with LineaPy and DVC - Thomas Fraunholz at PyData Berlin

Recap of the 2023 Conference on Computer Vision and Pattern Recognition - Vancouver

Reaching the next level of machine learning experiment tracking & maturation with the DVC 3.0 Stack

Becoming a Pokémon Master with DVC Reproducible Machine Learning Experiments Rob De Wit

How to Pull Only the Machine Learning Pipeline Data You Need - DVC Product Update

How to Use DVC for Applications in ML Drug Discovery Pipelines Estefania Barreto-Ojeda PyData NYC

Best MLOps Practices for Building End-to-End Machine Learning Computer Vision Projects with Alex Kim