Open source tool for data, models, & experiment versioning for ML projects. Join our stellar community dvc.org/support for help, support and insights.
Joined May 2018
- Tweets 2,203
- Following 528
- Followers 5,030
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687 Photos and videos
Mohd Azhar traces how ML went from handcrafted models to industrial pipelines with DVC, MLflow, and orchestration tools at the center. Real examples from Netflix, Uber, and Spotify, plus a full fraud detection pipeline walkthrough.
👉🏽 hubs.la/Q04fSvyy0
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Have you all checked out @oboelabs? A solid production ML systems guide covering batch vs. stream ingestion, ETL/ELT patterns, data quality validation, and training-serving skew, with DVC and LakeFS recommended for data versioning and reproducibility.
🐇 hubs.la/Q04fSkwX0
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Mehrdad Dehghan walks through a full end-to-end SaaS lead repurchase prediction pipeline, including EDA, LightGBM Optuna tuning, DVC for pipeline orchestration, MLflow for tracking, and FastAPI deployment.
Good stuff! 🚀 hubs.la/Q04fSyz_0
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Lena Müller argues that winning AI teams won't have the biggest models. Instead, they'll have the most sophisticated evaluation pipelines. A deep dive into production-grade eval systems with DVC, CI/CD, and continuous monitoring.
👉🏽 hubs.la/Q04fQW0Q0
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Александр Рыжков (Kaggle Grandmaster, LightAutoML team lead) published a comprehensive Russian-language DVC tutorial covering data versioning, S3 & Google Drive backends, DAG pipelines, and when NOT to use DVC.
👉🏽 hubs.la/Q04fRcSy0
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Nyson Markus lists 8 ML projects for software engineers that emphasize the production steps most tutorials skip 👉🏽 drift monitoring, model promotion gates, and eval harnesses. Work these projects with DVC MLflow GitHub Actions in the stack.
8️⃣🚀 hubs.la/Q04fR4DP0
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A German-language AI security guide covering EU AI Act, BSI Grundschutz, and ISO 27001 compliance. DVC is cited for model and data version control in the traceability section. Great resource for German-speaking MLOps teams! hubs.la/Q04fRrBj0
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Reproducibility builds trust and simplifies productionization. @jit_compile's guide recommends DVC alongside cloud storage for versioning large datasets and models outside of Git. All good things.
👉🏽 hubs.la/Q048wFNd0
✅ #DataScience #MLOps
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Evasion, poisoning, model theft, LLM attacks — Varun Kumar's practical security guide covers them all. DVC is recommended for data provenance as part of a defense-in-depth strategy across the full AI lifecycle.
👉🏽 hubs.la/Q048vtPb0
🛡️ #MLSec
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Traditional vulnerability management wasn't built for AI. HackMon AI makes the case for shift-left security that validates data and model integrity from the start with DVC, @MLflow, and @Kubernetes. What do you think?
👉🏽 hubs.la/Q048vn2_0
🔐 #AISecOps #MLOps
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Great pics from the @pydatacardiff Meetup!
🏴 Thanks to David Parr for organizing and Gabrielle Ebbens for presenting on DVC!
Planning a DVC or lakeFS meetup?
Reach out — we'll send stickers & swag!
#PyData
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Join us tomorrow for the AI-Ready Data Summit, a free, live virtual event built for:
✅ Data & AI leaders
✅ Data and ML engineers
✅ AI/ML platform teams
✅ Centers of Excellence driving enterprise AI strategy
See you there and invite a friend! 👇
🔗 hubs.la/Q048v7fr0
ALT AI-Ready Data Summit
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Registration is now open for the AI-Ready Data Summit, a free, live virtual event on March 31, 2026.
Built for: Data & AI leaders, data and ML engineers, AI/ML platform teams, and Centers of Excellence driving enterprise AI strategy.
Register 👇
🔗 hubs.la/Q046xpw30
ALT AI-Ready Data Summit
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Registration is now open for the AI-Ready Data Summit, a free, live virtual event on March 31, 2026.
Built for: Data & AI leaders, data and ML engineers, AI/ML platform teams, and Centers of Excellence driving enterprise AI strategy.
Register 👇
🔗 hubs.la/Q045qZwc0
ALT AI-Ready Data Summit
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