Iterative.ai Reviews

1. Ryan Raposo

   | Software Developer at Self-employed | over 3 years ago
   Rare

   The people at iterative.ai are special.

   Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.

   Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.

   The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.

   Recommend whole-heatedly.

   🏁 Competitors: Git Large File Storage, Make.com, Workflow Management Software

   👍 Pros:    Constantly improving|Quality|Community

GitHub Reviews

1. Reinhard

   | Boss at CLOUD Meister | over 3 years ago
   perfect 4 open Source

Iterative.ai mentions (6)

• Work with Google Drive files locally

  PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: dev.to / over 1 year ago

• Any MLOps platform you use?

  These three are made by Iterative.ai, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. https://iterative.ai/. Source: over 1 year ago

• How does your data science team collaborate?

  For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC,et.al.) Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists (https://learn.iterative.ai). We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: almost 2 years ago

• Advice about Infra and IaC

  What do you think of iterative.ai tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago

• TPI - Terraform provider for ML/AI & self-recovering spot-instances

  Hey all, we (at iterative.ai) are launching TPI - Terraform Provider Iterative https://github.com/iterative/terraform-provider-iterative. Source: about 2 years ago

GitHub mentions (2063)

• Heroku Reviews Apps prevent delivering bugs on production

  Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. It’s then super easy for anyone to try the new code. - Source: dev.to / 1 day ago

• The Ultimate beginners guide to open source – part 2: ways to find open source projects to contribute to

  Third way: go to github.com, click on filter, and then select repositories and recommendations. GitHub will recommend repositories that they think you will be interested in. If you also select repository activity, you will be able to see what the people you follow on GitHub are contributing to, and you can then check out those projects. - Source: dev.to / 5 days ago

• Cargo Actions: An efficient tool for managing and creating GitHub Actions workflow templates

  Create a project using the GitHub repository URL, and you can omit the https://github.com/ prefix. By default, the workflow template in https://github.com/yexiyue/cargo-actions will be used. - Source: dev.to / 7 days ago

• Staying Up-to-Date with the Latest AI Developments and Trends

  . Kaggle: For competitions and datasets. . GitHub: For open source projects and collaboration. . Colab: Google’s platform for building and sharing machine learning models. - Source: dev.to / 9 days ago

• GitHub Basics: Creating Repository and Maintaining It

  Creating a new repository from the web UI Step 1-; If you don’t have a GitHub account, go to https://github.com/ and sign up. Once you have GitHub account, In the upper-right corner of any page, select + sign and click it. - Source: dev.to / 10 days ago