Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Setup and customize deep learning environment in seconds.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Scenarios, tutorials and demos for Autonomous Driving

Keras package for region-based convolutional neural networks (RCNNs)

GPU-accelerated Deep Learning on Windows 10 native

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.

ANNdotNET - deep learning tool on .NET Platform.

Deep Learning with C# and CNTK

The On-Ramp to Deep Learning

A Deep Learning talk+tutorial for medical image processing

Bounding box detection of drones (small scale quadcopters) with CNTK Fast R-CNN

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

A workbench for online model-free Reinforcement Learning on continuous control problems

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

Prometheus is a machine learning powered solution for early detection of fires in national parks

Machine learning in a visual language

This sample project shows off how to prepare and deploy to Azure Web Apps a simple Python web service with an image classifying model produced in CNTK (Cognitive Toolkit) using FasterRCNN

Some Deep learning tools in Unity using CNTK

Deep learning library that builds on and extends Microsoft CNTK

A python implementation for a CNTK Fast-RCNN evaluation client

A playground for continual, interactive neuroevolution

No description provided.

A Docker container with Azure Resource Manager administration tools and a machine/deep learning stack

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

Deep Learning (Keras) Models Deployment using SQL databases

an implemention of some machine learning algorithm under c#

Node.js bindings for CNTK