TFServing-Demos VS One-Piece-Image-Classifier

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

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TFServing-Demos One-Piece-Image-Classifier
1 1
11 2
- -
0.0 0.0
almost 3 years ago about 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

TFServing-Demos

Posts with mentions or reviews of TFServing-Demos. 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 TFServing-Demos and One-Piece-Image-Classifier you can also consider the following projects:

MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement

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

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

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

Gather-Deployment - Gathers Python deployment, infrastructure and practices.

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