pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks (by rasbt)
what_are_embeddings
A deep dive into embeddings starting from fundamentals (by veekaybee)
| pattern_classification | what_are_embeddings | |
|---|---|---|
| 1 | 2 | |
| 4,092 | 853 | |
| - | - | |
| 2.7 | 8.1 | |
| 5 months ago | 22 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | - |
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.
pattern_classification
Posts with mentions or reviews of pattern_classification.
We have used some of these posts to build our list of alternatives
and similar projects.
what_are_embeddings
Posts with mentions or reviews of what_are_embeddings.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-19.
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The Illustrated Word2Vec
That is essentially correct. You take an object and "embed" it in a high-dimensional vector space to represent it.
For a deep dive, I highly recommend Vicki Boykis's free materials:
https://vickiboykis.com/what_are_embeddings/
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GPT Weekly - 3rd July Edition - Adobe’s Safety Net, Open-Source AI: Expanded Context Lengths and more.
LLMs require embeddings to work. What are embeddings? But, did you know embeddings also power the recommendation engines? Another guide on embeddings.
What are some alternatives?
When comparing pattern_classification and what_are_embeddings you can also consider the following projects:
RACplusplus - A high performance implementation of Reciprocal Agglomerative Clustering in C++
gpt-migrate - Easily migrate your codebase from one framework or language to another.