DVCorg
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 now an open-source standard for data versioning and reproducibility.
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
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
Tweet Sentiment Analyzer with DVC and Huggingface