Explore live open-source projects and AI models.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.

ANNdotNET - deep learning tool on .NET Platform.

Fast R-CNN Object Detection on Azure using CNTK

Deep Neural Network based Image Similarity ranking on Azure using CNTK

No description available from source.

Deep Learning with C# and CNTK

Convolutional Neural Tangent Kernel

The On-Ramp to Deep Learning