NumberRecognition VS One-Piece-Image-Classifier

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

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NumberRecognition One-Piece-Image-Classifier
1 1
3 2
- -
0.0 0.0
over 3 years ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 only
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.

NumberRecognition

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

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.

What are some alternatives?

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

class-finder - this project is a combination of 3 mini projects heart attack prediction, diabetes prediction and Banknote Counterfeit Detection

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

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

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.

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.

glasses - High-quality Neural Networks for Computer Vision 😎

Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.