word2vec VS groupImg

Compare word2vec vs groupImg and see what are their differences.

word2vec

Automatically exported from code.google.com/p/word2vec (by tmikolov)

groupImg

A script in python to organize your images by similarity. (by victorqribeiro)
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word2vec groupImg
3 2
1,506 225
- -
0.0 4.9
over 1 year ago about 2 months ago
C Python
Apache License 2.0 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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word2vec

Posts with mentions or reviews of word2vec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-12.
  • Is Cosine-Similarity of Embeddings Really About Similarity?
    2 projects | news.ycombinator.com | 12 Mar 2024
    The original paper included source, and that has their test data and results -- it gets ~77% accuracy on about 20k example word analogies (with 99.7% coverage), and 78% accuracy with phrases with 77% coverage. You can see the test set here:

    https://github.com/tmikolov/word2vec/blob/master/questions-w...

  • Introduction to K-Means Clustering
    5 projects | news.ycombinator.com | 14 Mar 2022
    It is not necessarily the case.

    For example, word2vec uses k-means clustering using cosine similarity measure [1]. It works very, very well. The caveat is not many optimization variations of k-means will work with that "distance".

    [1] https://github.com/tmikolov/word2vec/blob/master/word2vec.c#...

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 word2vec and groupImg you can also consider the following projects:

hdbscan - A high performance implementation of HDBSCAN clustering.

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

ckwrap - Wrapper for Ckmeans.1d.dp.

RobotEyes - Image comparison for Robot Framework

starboard - Moved to https://github.com/aquasecurity/trivy-operator

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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