olgaliak

active-learning-detect

Active learning + object detection

segmentation-unet-maskrcnn

Code for satellite image segmentation using Unet or Mask RCNN and comparing these two approaches.

detection-amlworkbench

sequence_intent

cntk-cyclegan

CNTK based implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

keras-tf-Super-Resolution

Several approaches for bumping up image resolution with NNs (GANs)

tensorflow-srgan

Super Resolution GANs in Tensorflow 1.1+

seismic-deeplearning

Deep Learning for Seismic Imaging and Interpretation

azure-content

Repository containing the Articles on windowsazure.com Documentation Center

azure-sdk-for-net

Microsoft Azure SDK for .NET

CNTK

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

coco

MS COCO API (fork with fix for Python3)

Cognitive-IRIS-Python

Python SDK and sample for IRIS

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-learning-HAR

Convolutional and LSTM networks to classify human activity

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models built with TensorFlow

NeuralNetwork-Examples

The same small networks implemented in different frameworks

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

siml

Machine Learning algorithms implemented from scratch

tensorflow-object-detection

📦 Operationalizing TensorFlow Object Detection on Azure

testMLOpsPython

Transfer-Learning-Suite

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!