budget
A simply budget app that predicts where the expenses are being made (by victorqribeiro)
word2vec
Automatically exported from code.google.com/p/word2vec (by tmikolov)
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| budget | word2vec | |
|---|---|---|
| 1 | 3 | |
| 104 | 1,490 | |
| - | - | |
| 10.0 | 0.0 | |
| over 5 years ago | about 1 year ago | |
| JavaScript | C | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
budget
Posts with mentions or reviews of budget.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-14.
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Introduction to K-Means Clustering
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
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.
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Is Cosine-Similarity of Embeddings Really About Similarity?
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...
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Introduction to K-Means Clustering
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#...
What are some alternatives?
When comparing budget and word2vec you can also consider the following projects:
hdbscan - A high performance implementation of HDBSCAN clustering.
ckwrap - Wrapper for Ckmeans.1d.dp.