embedding-encoder VS Traffic-Lights-Classification-CNN

Compare embedding-encoder vs Traffic-Lights-Classification-CNN and see what are their differences.

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings. (by cpa-analytics)

Traffic-Lights-Classification-CNN

Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset. (by RomeroRodriguezD)
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embedding-encoder Traffic-Lights-Classification-CNN
1 1
40 0
- -
0.0 10.0
9 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
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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.

Traffic-Lights-Classification-CNN

Posts with mentions or reviews of Traffic-Lights-Classification-CNN. 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 Traffic-Lights-Classification-CNN you can also consider the following projects:

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

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

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

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