nimCSO

nim Composition Space Optimization is a high-performance tool leveraging metaprogramming to implement several methods for selecting components (data dimensions) in compositional datasets, as to optimize the data availability and density for applications such as machine learning. (by amkrajewski)
Add to my DEV experience Data Analysis data-optimization Data Science materials-informatics Metaprogramming Nim nim-lang
Source Code
nimcso.phaseslab.org
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nimCSO Alternatives

Similar projects and alternatives to nimCSO based on common topics and language

  • Arraymancer

    21 nimCSO VS Arraymancer

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  • gonb

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  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

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  • SaaSHub

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better nimCSO alternative or higher similarity.
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nimCSO reviews and mentions

Posts with mentions or reviews of nimCSO. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-12.
  • Go, Python, Rust, and production AI applications
    4 projects | news.ycombinator.com | 12 Mar 2024
    Nim has also a powerful deep learning library called Arraymancer. It's selling point is that you don't have to rewrite your code from research to production. It's used in various machine learning projects, but one recent one that caught my eye was https://github.com/amkrajewski/nimCSO "Composition Space Optimization"

    https://github.com/mratsim/Arraymancer

Stats

Basic nimCSO repo stats
1
19
9.6
about 1 month ago

amkrajewski/nimCSO is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of nimCSO is Nim.


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