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

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

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Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication Sign-Language-Interpreter-using-Deep-Learning
1 1
12 473
- -
3.7 0.0
9 months ago 30 days ago
Python Python
BSD 2-clause "Simplified" License 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.

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.

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.

What are some alternatives?

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

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

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

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.