python-machine-learning-book VS weightless_NN_decompression

Compare python-machine-learning-book vs weightless_NN_decompression and see what are their differences.

weightless_NN_decompression

Proof of concept for neural network decompression without storing any weights (by Magnushhoie)
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python-machine-learning-book weightless_NN_decompression
2 1
12,076 1
- -
0.0 7.0
over 1 year ago 5 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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python-machine-learning-book

Posts with mentions or reviews of python-machine-learning-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

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.

What are some alternatives?

When comparing python-machine-learning-book and weightless_NN_decompression you can also consider the following projects:

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN

nlp-class - A Natural Language Processing course taught by Professor Ghassemi

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

CellSol - CellSol: Long Range Solar Powered Communications Network

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

digital_video_introduction - A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸