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Comet.ml VS Floyd

Compare Comet.ml VS Floyd and see what are their differences

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Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Floyd logo Floyd

Heroku for deep learning
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • Floyd Landing page
    Landing page //
    2023-03-20

Comet.ml videos

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Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

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 Comet.ml and Floyd)

Comet.ml

Floyd

Data Science And Machine Learning
56 56%
Data Science And Machine Learning
44% 44
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
AI
0 0%
AI
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

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What are some alternatives?

When comparing Comet.ml and Floyd, you can also consider the following products

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.

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

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.

Lobe - Visual tool for building custom deep learning models

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