Sign-Language-Interpreter-using-Deep-Learning VS Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication

Compare Sign-Language-Interpreter-using-Deep-Learning vs Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication and see what are their differences.

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Sign-Language-Interpreter-using-Deep-Learning Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication
1 1
468 12
- -
0.0 3.7
16 days ago 9 months ago
Python Python
MIT License BSD 2-clause "Simplified" License
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Sign-Language-Interpreter-using-Deep-Learning

Posts with mentions or reviews of Sign-Language-Interpreter-using-Deep-Learning. We have used some of these posts to build our list of alternatives and similar projects.

Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication

Posts with mentions or reviews of Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Sign-Language-Interpreter-using-Deep-Learning and Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication you can also consider the following projects:

head-pose-estimation - Realtime human head pose estimation with ONNXRuntime and OpenCV.

darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.