Azure Analytics and AI Engagement
Обновлено 2024-11-19 02:04:50 +03:00
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Обновлено 2024-11-19 01:51:18 +03:00
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Обновлено 2024-11-18 23:05:01 +03:00
Examples of using the Planetary Computer
Обновлено 2024-11-14 23:14:22 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +03:00
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Обновлено 2024-10-18 16:33:49 +03:00
Training workshops for Power BI.
Обновлено 2024-09-30 18:14:10 +03:00
Cyclic Boosting Machines - an explainable supervised machine learning algorithm
Обновлено 2024-09-04 00:22:24 +03:00
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
Обновлено 2024-07-25 14:51:04 +03:00
Toolbox repository for Tiger team
Обновлено 2024-05-18 00:24:30 +03:00
AI education materials for Chinese students, teachers and IT professionals.
Обновлено 2024-05-16 12:54:05 +03:00
Demonstration content for AML v2 and MLOps v2
Обновлено 2024-02-02 00:22:41 +03:00
A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities
Обновлено 2024-01-20 01:38:58 +03:00
Style Normalization and Restitution for Domain Generalization and Adaptation
Обновлено 2023-10-04 00:19:13 +03:00
Build sim from data for use in reinforcement learning and bonsai platform for machine teaching.
Обновлено 2023-09-07 19:12:44 +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
Debugging, monitoring and visualization for Python Machine Learning and Data Science
machine-learning
python
deep-learning
data-science
ai
monitoring
reinforcement-learning
jupyter
jupyter-notebook
debugging
deeplearning
debug
machinelearning
explainable-ai
explainable-ml
saliency
debugging-tool
model-visualization
Обновлено 2023-08-30 10:47:36 +03:00
Azure AI Camp - 2 day workshop on Databricks and Azure ML
Обновлено 2023-07-23 07:44:56 +03:00
A collection of libraries for interfacing simulators with the Bonsai platform.
Обновлено 2023-07-19 01:59:47 +03:00
Обновлено 2023-07-07 00:18:33 +03:00
Land Cover Mapping
Обновлено 2023-06-12 23:24:38 +03:00
Campaign optimization solution with SQL Server ML Services
Обновлено 2023-06-12 23:01:40 +03:00
Running the most popular deep learning frameworks on Azure Batch AI
Обновлено 2023-06-12 22:32:13 +03:00
Scenarios, tutorials and demos for Autonomous Driving
microsoft
deep-learning
simulation
tensorflow
robotics
tutorial
autonomous-vehicles
airsim
self-driving-car
autonomous-driving
autonomous-driving-cookbook
car
cntk
keras
microsoft-garage
Обновлено 2023-06-12 22:32:09 +03:00
This project created to analyze, compare and identify whale tails from the Kaggle competition dataset, "Humpback Whale Identification Challenge". It is written in Python, and uses the Keras API with Tensorflow backend. The project implemented both a Siamese Network and a SoftMax classifier with center loss.
Обновлено 2023-06-12 22:29:42 +03:00
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
nlp
pytorch
azure-machine-learning
language-model
bert
tuning
finetuning
pretraining
azureml-bert
bert-model
pretrained-models
Обновлено 2023-06-12 21:59:00 +03:00
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
Обновлено 2023-05-01 23:51:33 +03:00
Shared utility scripts for AI for Earth projects and team members
Обновлено 2023-04-27 04:58:37 +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
Used for China Cloud Group AI Solutions
Обновлено 2023-03-28 19:46:10 +03:00