🦉DVC

@DVCorg

Open source tool for data, models, & experiment versioning for ML projects. Join our stellar community dvc.org/support for help, support and insights.

San Francisco, CA

dvc.org

Joined May 2018

533 Following

4,992 Followers

Replies Reposts Media Articles

🦉DVC
@DVCorg
Oct 19
Matsui-lab (@utokyo_bunny) keeps code, models and shared datasets in sync across laptops, lab servers and cloud: Git for code, S3 for storage, DVC tracking dataset versions with MD5 hashes in Git. Full step-by-step setup 💡 In Japanese! hubs.la/Q04z1FdJ0
🦉DVC
@DVCorg
Oct 15
@nishat_NSS six habits for reproducible single-cell projects: Git + DVC, http://params.yaml, http://dvc.yaml, http://dvc.lock, and the mistakes that silently break real genomics work. Built to survive manuscript revision ✨ hubs.la/Q04z1xVV0
🦉DVC
@DVCorg
Oct 13
Phat Vo from @fintech24h_com treats data lineage as AI security infrastructure: DVC keeps an audit trail of what went into every training run, alongside layered defenses and continuous monitoring. Provenance first 💪🏼
Operationalizing AI security frameworks and controls for production systems | Fintech24h
From fintech24h.com
1
🦉DVC
@DVCorg
Oct 9
Evgeny Levashov's guide to ML storage on S3: naming schemes for datasets, features and model weights, DVC for dataset versioning, MLflow for artifacts, Feast for features, and lifecycle rules to control costs ✨ hubs.la/Q04z1pXk0
🦉DVC
@DVCorg
Oct 7
@datalaria's four pillars for taking a model from Jupyter to production: Git for code, DVC for data, MLflow for models, CI/CD and drift monitoring. Ties it all to EU AI Act compliance too 🚀
MLOps for Engineers: How to Take an AI Model from Jupyter to Production Without Dying in the Attempt
From datalaria.com

Sunbelt Computer Software

PL/B Language Development and Support

🦉DVC