Maybe I'm obsessed with @DVCorg, but in each paragraph of this white paper cloud.google.com/resources/mlops-whitepaper, I think of DVC as a so good solution. What a wonderful framework. In my particular case, is a very good guide to putting all in order.

This! Literally hundreds of #MLOps popping everyone promising data scientists an experience based on limited choices and inflexible and repetitive GUIs. Thank you @Iterativeai for letting me write code and configuration instead 🧐 twitter.com/DVCorg/status/1532358000546942976

📚 Haven't hit the "enroll" button that hard in a while. Beautiful course, am excited to explore the materials: twitter.com/DVCorg/status/1529907752545439754

Having fun with @DVCorg and @jarvislabsai. Currently wrote a script to launch VM instance, run a set of predefined experiments, make branches, visualize the results in @Iterativeai Studio automatically. Next step is to write GitHub Actions for more automations on given PRs

At DeGould we’re big fans of @Iterativeai’s tools and it’s great to see them progressing. See my quote in their recent @BusinessWire article businesswire.com/news/home/20220317005882/en/MLOps-Company-Iterative-Achieves-Significant-Customer-and-Company-Growth-in-2021 #MLOps

Swag received :) Thanks @DVCorg !! We love DVC at @sicara_fr 👉 keep up the great work 👍 @_Okamille @e_vignon @cpierrehenri @JPro20 @SoulMathieu @Arnault_Chaz

🦉 Am very much enjoying the modularity of @DVCorg's open-source products (particularly CML and DVC). The tools feel so much more composable than other MLOps systems... "Want to use MLFlow for a portion of the process, instead? Go ahead!" Libraries = ♥️ . dvc.org/doc/use-cases/ci-cd-for-machine-learning#continuous-integration-and-deployment-for-machine-learning

Interesting blog post from @DVCorg with their philosophy for managing workflows with ML. I've enjoyed using DVC for the last year - for the first time I've had a process that allows for easy collaboration on data analysis with colleagues dvc.org/blog/road-to-hell via @DVCorg

Startups I'm *incredibly* bullish about: @Stripe, @IterativeAI, @HuggingFace, and @Explosion_AI. If you're an engineer/PM considering a career change (and it's that time of the year again, no? 😆)—but want to opt away from FAAMG, definitely consider one of the companies above.

@DVCorg Also, DeeVee is a cool rainbow owl.

Reading up on @DVCorg and drooling at the potential for repeatable data science experiments with versioned code, data *and* metrics, AND the ability to do comparative plots!

If only I knew about @DVCorg during my MSc. thesis 🤦‍♂️I would not have had to come up with my “home-grown” version.

Some people asked about @DVCorg and how I use it so here's am #Rstats 📦 I'm creatively calling {dvcru} with some utility functions and documentation about how to use the DVC workflow. It will also bootstrap a project with DVC once I push some changes. Check it out!

@DynamicWebPaige @DVCorg @github They are an exceptionally nice crew. Glad you are thinking about them. A very worthy direction for machine learning tooling.

🦉 I'm really enjoying reading through @DVCorg's documentation and use cases for operationalizing machine learning models. dvc.org/doc/use-cases/versioning-data-and-model-files If you've ever tried to put a model in production, these concepts will resonate. Check out their open-source project on @Github! ✨

DVC is an amazing tool. Great milestone. It already removes a lot of headaches in my #MachineLearning work. But with new features, I will be even more productive :) twitter.com/DVCorg/status/1367117270946746374

O @DVCorg seguramente está entre as melhores ferramentas do ecossistema dos últimos 3 anos. Não vai demorar para o DVC ser tão comum quanto o Scikit-Learn em projetos de ML/DS com alta maturidade. 👏👏👏 twitter.com/DVCorg/status/1367117270946746374

Companies such as @astronomerio, @HashiCorp, @supabase_io, @Iterativeai are excellent examples of companies with a relentless focus on building for developer love.

This looks extremely useful. Full CI/CD for ML projects, baked directly into GitHub using DVC. Any PR that changes training code auto-triggers a new training run, and new metrics / image samples are auto-commented on the PR. Very cool! twitter.com/DVCorg/status/1280505393496629249

I'm using @DVCorg for a project for the first time ever today; this thing is hella cool, check it out. dvc.org