embedding-encoder VS handson-ml

Compare embedding-encoder vs handson-ml and see what are their differences.

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
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embedding-encoder handson-ml
1 1
40 25,097
- -
0.0 0.0
9 months ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

embedding-encoder

Posts with mentions or reviews of embedding-encoder. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing embedding-encoder and handson-ml you can also consider the following projects:

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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.

machine-learning-articles - 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository

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

Traffic-Lights-Classification-CNN - Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn