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Datmo VS MLPerf

Compare Datmo VS MLPerf and see what are their differences

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Datmo logo Datmo

Datmo tools help power up your existing model workflow. A new standard built by data scientists, for data scientists.

MLPerf logo MLPerf

Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.
  • Datmo Landing page
    Landing page //
    2023-02-11
  • MLPerf Landing page
    Landing page //
    2023-08-18

Datmo

Categories
  • Data Science And Machine Learning
  • Data Science Notebooks
  • Machine Learning Tools
  • Machine Learning
Website datmo.com
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MLPerf

Categories
  • Data Science And Machine Learning
  • Data Science Notebooks
  • Predictive Analytics
Website mlperf.org
Edit details

Datmo videos

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

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MLPerf videos

+ Add

SC22: AI Benchmarking & MLPerf™ Webinar

More videos:

  • Review - MLPerf & PyTorch | PyTorch Developer Day 2020
  • Review - Peter Mattson - MLPerf: Driving Innovation by Measuring Performance

Category Popularity

0-100% (relative to Datmo and MLPerf)

Datmo

MLPerf

Data Science And Machine Learning
58 58%
Data Science And Machine Learning
42% 42
Data Science Notebooks
56 56%
Data Science Notebooks
44% 44
Machine Learning Tools
66 66%
Machine Learning Tools
34% 34
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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What are some alternatives?

When comparing Datmo and MLPerf, 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.

MCenter - Machine Learning Operationalization

5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

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.

Spell - Deep Learning and AI accessible to everyone

Datatron - Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

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