One-Piece-Image-Classifier VS MachineLearningNotebooks

Compare One-Piece-Image-Classifier vs MachineLearningNotebooks and see what are their differences.

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One-Piece-Image-Classifier MachineLearningNotebooks
1 2
2 3,958
- 0.7%
0.0 5.6
about 2 years ago 3 days ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only MIT License
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.

One-Piece-Image-Classifier

Posts with mentions or reviews of One-Piece-Image-Classifier. We have used some of these posts to build our list of alternatives and similar projects.

MachineLearningNotebooks

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

What are some alternatives?

When comparing One-Piece-Image-Classifier and MachineLearningNotebooks you can also consider the following projects:

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

azureml-examples - Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

mlops-v2 - Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

MLOps - MLOps examples

tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

glasses - High-quality Neural Networks for Computer Vision 😎

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials