weightless_NN_decompression
Proof of concept for neural network decompression without storing any weights (by Magnushhoie)
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead. (by ageron)
weightless_NN_decompression | handson-ml | |
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1 | 1 | |
1 | 25,094 | |
- | - | |
7.0 | 0.0 | |
5 months ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | 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.
weightless_NN_decompression
Posts with mentions or reviews of weightless_NN_decompression.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-18.
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Ts_zip: Text Compression Using Large Language Models
Here is a very basic attempt at implementation of the method idea in Python, successfully compressing and de-compressing a file without any neural weights available:
https://github.com/Magnushhoie/weightless_NN_decompression
handson-ml
Posts with mentions or reviews of handson-ml.
We have used some of these posts to build our list of alternatives
and similar projects.
-
need a book recommendation for machine learning on python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
What are some alternatives?
When comparing weightless_NN_decompression and handson-ml you can also consider the following projects:
DeepLearning - Contains all my works, references for deep learning
Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.