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Managed MLflow VS Floyd

Compare Managed MLflow VS Floyd and see what are their differences

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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 logo Floyd

Heroku for deep learning
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • Floyd Landing page
    Landing page //
    2023-03-20

Managed MLflow videos

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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

Category Popularity

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

Managed MLflow

Floyd

Data Science And Machine Learning
65 65%
Data Science And Machine Learning
35% 35
AI
0 0%
AI
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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What are some alternatives?

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

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.

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

Weights & Biases - Developer tools for deep learning research

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

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