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Floyd VS Managed MLflow

Compare Floyd VS Managed MLflow and see what are their differences

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Floyd logo Floyd

Heroku for deep learning

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
  • Floyd Landing page
    Landing page //
    2023-03-20
  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Floyd videos

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How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

More videos:

  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

Managed MLflow videos

No Managed MLflow videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Floyd and Managed MLflow)

Floyd

Managed MLflow

Data Science And Machine Learning
37 37%
Data Science And Machine Learning
63% 63
AI
100 100%
AI
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100
Productivity
100 100%
Productivity
0% 0

User comments

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What are some alternatives?

When comparing Floyd and Managed MLflow, you can also consider the following products

Deep Learning Gallery - A curated list of awesome deep learning projects

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Lobe - Visual tool for building custom deep learning models

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

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