embedding-encoder VS machine-learning-book

Compare embedding-encoder vs machine-learning-book and see what are their differences.

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)
#Machine Learning #Deep Learning #scikit-learn #Keras #Tensorflow #neural-networks #categorical-features #categorical-encoding #Embeddings
Source Code

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn (by rasbt)
#Machine Learning #scikit-learn #Deep Learning #neural-networks #Pytorch
Source Code
sebastianraschka.com
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embedding-encoder machine-learning-book
1 1
38 2,263
- -
0.0 0.0
about 1 month ago 5 days ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

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

machine-learning-book

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

We haven't tracked posts mentioning machine-learning-book yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

skorch - A scikit-learn compatible neural network library that wraps PyTorch

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

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

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

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

gdrl - Grokking Deep Reinforcement Learning

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

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

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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

machine-learning-book vs skorch
embedding-encoder vs Fast-Transformer
embedding-encoder vs handson-ml
machine-learning-book vs ML-Workspace
machine-learning-book vs python-machine-learning-book-3rd-edition
machine-learning-book vs gdrl
embedding-encoder vs python-machine-learning-book-3rd-edition
embedding-encoder vs machine_learning_complete
embedding-encoder vs machine-learning-articles
machine-learning-book vs nn
machine-learning-book vs hyperlearn
embedding-encoder vs ML-Workspace