ckwrap VS groupImg

Compare ckwrap vs groupImg and see what are their differences.

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ckwrap groupImg
1 2
12 225
- -
6.9 4.9
3 months ago about 2 months ago
Python Python
GNU Lesser General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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ckwrap

Posts with mentions or reviews of ckwrap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-14.
  • Introduction to K-Means Clustering
    5 projects | news.ycombinator.com | 14 Mar 2022
    Note also that specifically for one-dimensional data, there is a globally optimal solution to the k-means clustering problem. There is an R package that implements it using a C++ core implementation [1], and also a Python wrapper [2].

    [1]: https://cran.r-project.org/package=Ckmeans.1d.dp

    [2]: https://github.com/djdt/ckwrap

groupImg

Posts with mentions or reviews of groupImg. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-14.
  • Introduction to K-Means Clustering
    5 projects | news.ycombinator.com | 14 Mar 2022
    If anyone is interested, I have two projects that uses k-means

    https://github.com/victorqribeiro/groupImg

    https://github.com/victorqribeiro/budget

    Being one of the first ML algorithms that I learned, I spend some time finding use cases for it

    If I'm not mistaken I've also used in to classify deforestation in an exercise

  • Show HN: I made NIGHT.FM, a cyberpunk-inspired online radio
    1 project | news.ycombinator.com | 15 Jan 2021
    well, I took a class back in college with an Old School professor. He's the one who drove the class that way. I just enjoyed the process. But there are a lot of tutorials on the internet about writing your own NN. I think the first algorithm that I ever wrote regarding ML was k-means [1]. Start there and see where it takes you:

    https://en.wikipedia.org/wiki/K-means_clustering

    Look at this project I have used it:

    https://github.com/victorqribeiro/groupImg

What are some alternatives?

When comparing ckwrap and groupImg you can also consider the following projects:

word2vec - Automatically exported from code.google.com/p/word2vec

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

hdbscan - A high performance implementation of HDBSCAN clustering.

RobotEyes - Image comparison for Robot Framework

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

img2cmap - Create colormaps from images

tslearn - The machine learning toolkit for time series analysis in Python

albumentations - Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

differences-between-two-images - Detect and visualize differences between two images with OpenCV Python

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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.
www.influxdata.com
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