Cloud-native SIEM for intelligent security analytics for your entire enterprise.
Обновлено 2024-11-07 15:50:53 +03:00
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
Обновлено 2024-10-30 19:31:52 +03:00
demos, scripts, samples, and code from the two bobs who work at Microsoft on SQL Server
Обновлено 2024-09-03 23:34:53 +03:00
Explore machine learning and data science with Codespaces
Обновлено 2024-08-12 16:11:43 +03:00
Best Practices, code samples, and documentation for Computer Vision.
microsoft
azure
machine-learning
python
deep-learning
data-science
computer-vision
kubernetes
artificial-intelligence
object-detection
tutorial
jupyter-notebook
convolutional-neural-networks
image-classification
image-processing
operationalization
similarity
Обновлено 2023-10-18 19:13:00 +03:00
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.
Обновлено 2023-10-06 22:39:11 +03:00
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
dotnet
azure
python
data-science
nodejs
ai
ml
mixed-reality
devops
iot
web
data
cloud
events
low-code
live-streaming
meetup
no-code
personal-de
Обновлено 2023-09-01 14:55:23 +03:00
Test data for notebook exploration in VS Code
Обновлено 2023-06-12 21:19:08 +03:00
Panopticon is a complete in-DRAM RowHammer mitigation. This code simulates an implementation of Panopticon in DDR5.
Обновлено 2023-06-02 21:05:47 +03:00
This Repository includes documentation and code regarding how to use the Azure Machine Learning service and Power BI together to use AI insights and AML deployed Machine Learning Models
Обновлено 2023-03-28 19:44:24 +03:00
Code for automatically tuning quantum dots
Обновлено 2023-01-31 13:22:19 +03:00
This is the source code that we developed for the collaborative project between Microsoft and Nestle Skin Health, where we developed deep learning models to assess the acne severity level based on selfie images.
Обновлено 2022-11-28 22:10:32 +03:00
Microsoft connected vehicle sample code for the connected vehicle platform.
Обновлено 2022-11-02 01:13:28 +03:00
This repo contains code for detecting poultry barns from high-resolution aerial imagery and an accompanying dataset of predicted barns over the United States.
Обновлено 2022-10-12 00:57:11 +03:00
Simple image classifier that introduces machine learning with Codespaces
Обновлено 2022-10-01 02:15:20 +03:00
VS Code Team Nodebook
Обновлено 2022-08-17 17:46:15 +03:00
Main purpose of this repo is to generate fake data to support demos, tests and sandboxes. This repo contains open source code in python, designed to work inside a Synapse workspace. It is built inside a Synapse notebook which fills all the tables of any industry database model.
Обновлено 2022-06-12 22:11:05 +03:00
Sample queries for Advanced hunting in Microsoft 365 Defender
Обновлено 2022-02-17 11:59:25 +03:00
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +03:00
AutoML code generation
Обновлено 2021-10-05 19:31:01 +03:00
python
deep-learning
pytorch
speech
melgan
multiband-melgan
speaker-encoder
tacotron
tacotron2
tensorflow2
text-to-speech
tts
vocoder
dataset-analysis
gantts
glow-tts
Обновлено 2021-02-18 21:24:03 +03:00
Instructions and sample code for running Azure Cognitive Services Text Analytics on open-form text
Обновлено 2020-12-18 22:50:47 +03:00
Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Обновлено 2020-12-16 15:51:21 +03:00
Sample code for Channel 9 Python for Beginners course
Обновлено 2020-10-14 19:44:17 +03:00
Sample code for Channel 9 Python for Beginners course
Обновлено 2020-07-13 19:33:16 +03:00
Code for modelling estimated deaths and cases for COVID19.
Обновлено 2020-04-28 18:45:37 +03:00
Sample code for running deterministic variational inference to train Bayesian neural networks
Обновлено 2018-10-10 12:06:01 +03:00