Repository for TorchSharp examples and tutorials.
Обновлено 2024-02-28 01:49:23 +03:00
Tutorials and programming exercises for learning Q# and quantum computing
Обновлено 2024-01-12 21:40:42 +03:00
A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services
Обновлено 2023-03-28 19:46:36 +03:00
Tutorial on Scaling R at KDD 2017
Обновлено 2023-03-28 19:46:25 +03:00
Quantum Classification tutorial using Microsoft Quantum Development Kit
Обновлено 2020-12-03 10:04:00 +03:00
A tutorial demonstrating how to implement deep learning models for time series forecasting
Обновлено 2020-11-13 21:01:26 +03:00
A tutorial for using libpostal to parse addresses
Обновлено 2020-10-19 21:37:22 +03:00
Demos and tutorials for IEEE Quantum Week 2020.
Обновлено 2020-10-13 04:25:52 +03:00
AKS Deployment Tutorial
Обновлено 2020-02-12 05:11:52 +03:00
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.
Обновлено 2019-07-25 06:53:28 +03:00
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
Обновлено 2019-02-01 22:04:55 +03:00
A tutorial demonstrating how to train a neural network to play hangman using CNTK
Обновлено 2017-11-02 21:07:18 +03:00