machine_learning_complete VS embedding-encoder

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

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques. (by Nyandwi)
Machine Learning Deep Learning Data Science neural-networks Computer Vision NLP Tensorflow Keras scikit-learn Pandas Matplotlib Seaborn Python Numpy Data Analysis open-source Data Visualization Datascience
Source Code
nyandwi.com
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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
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machine_learning_complete embedding-encoder
2 1
4,501 40
- -
5.9 0.0
7 months ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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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.

machine_learning_complete

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

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.

What are some alternatives?

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

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

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

event-transcripts - transcripts from our recorded events

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

PtitPrince - python version of raincloud

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

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

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

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.

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

awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖

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

machine_learning_complete vs CardMap embedding-encoder vs machine-learning-articles machine_learning_complete vs event-transcripts embedding-encoder vs Fast-Transformer machine_learning_complete vs PtitPrince embedding-encoder vs handson-ml machine_learning_complete vs Andrew-NG-Notes embedding-encoder vs python-machine-learning-book-3rd-edition machine_learning_complete vs artificial-intelligence embedding-encoder vs Traffic-Lights-Classification-CNN machine_learning_complete vs awesome-data-centric-ai embedding-encoder vs machine-learning-book