python-machine-learning-book-3rd-edition VS embedding-encoder

Compare python-machine-learning-book-3rd-edition vs embedding-encoder and see what are their differences.


The "Python Machine Learning (3rd edition)" book code repository (by rasbt)


Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
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python-machine-learning-book-3rd-edition embedding-encoder
3 1
4,122 37
- -
0.0 0.0
5 months ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Posts with mentions or reviews of python-machine-learning-book-3rd-edition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-07.


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

We haven't tracked posts mentioning embedding-encoder yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing python-machine-learning-book-3rd-edition and embedding-encoder you can also consider the following projects:

linear-tree - A python library to build Model Trees with Linear Models at the leaves.

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

handson-ml - ⛔️ DEPRECATED – See instead.

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

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

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

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


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