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Iterative

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14 reviews
  • 2 profiles
  • 1 categories
Average star rating
4.7
Serving customers since
2018

Profile Name

Star Rating

12
2
0
0
0

Iterative Reviews

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Profile Name
Star Rating
12
2
0
0
0
MS
Marcelle S.
09/13/2023
Validated Reviewer
Review source: Organic

Great support from DVC team; flexible and very helpful tool

DVC allowed me to have an overview of my results, with plots and tracking the metadata. This improves and speeds up the research process, allowing reproducibility of the results and better team work.
Michael G.
MG
Michael G.
08/10/2023
Validated Reviewer
Verified Current User
Review source: Organic

DVC is an essential tool for anyone who wants to develop structured ML projects

What I like most is that it fills a gap that no other tool out there does. It provides a way to version machine learning projects.
Francesco C.
FC
Francesco C.
🇺🇦 Computational Scientist and Engineer | PhD Physics
08/09/2023
Validated Reviewer
Review source: Organic

If you like the unix and open source philosophy, then with dvc you will feel home

I like that they follow the UNIX philosophy quite closely, they have an amazing comunity, always there to answer your questions. I also find amazing the open source culture they cultivate, and the active role they play in the ML community, sometimes even supporting economically Data Science events. Finally, I like how dvc plays together with git, making GitOps for ML a reality. For me personally, I especially like the modularity of their products, that allow me to "hack them together" to my will.

About

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HQ Location:
San Francisco, California

Social

@Iterativeai

What is Iterative?

Iterative Inc is a company specializing in providing open-source tools and solutions for machine learning and data science workflows. Their primary focus is on enabling data scientists and developers to manage machine learning experiments, data, and models efficiently. Iterative Inc is best known for its tools such as DVC (Data Version Control) and CML (Continuous Machine Learning), which facilitate version control, collaboration, and automation in machine learning projects. These tools are designed to integrate seamlessly with popular development environments and version control systems like Git, allowing for better reproducibility and collaboration in the ML lifecycle.

Details

Year Founded
2018