Ariel Cedola's repositories
AIforEarth-API-Development
The AI for Earth Engineering Team works to empower AI for Earth Grantees by providing base images to quickly move from a local model to an model-backed API that any permitted user can utilize.
arielcedola.github.io
My Data Science website!
azure-event-hubs-python
Python client library for Azure Event Hubs
azure-stream-analytics
Azure Stream Analytics
cognitive-services-speech-sdk
Sample code for the Microsoft Cognitive Services Speech SDK
data-simulator-for-iDA
Simulation of sensor data in streaming
awesome-dotnet
A collection of awesome .NET libraries, tools, frameworks and software
azure-event-hubs
☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
azure-functions-python-worker
Python worker for Azure Functions.
Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
CodeGen2018
Repository contenente il materiale di CodeGen 2018
cortana-intelligence-predictive-maintenance-aerospace
Predict the remaining useful life of aircraft components in order to reduce component repair costs, improve component stock availability, reduce inventory levels of related assets and improve maintenance planning.
DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
EngineeringMLOps
Engineering MLOps, published by Packt
functions
MLRun template functions and examples
google-cloud-python
Google Cloud Client Library for Python
LearnAI_Azure_ML
This repository contains training material related to Azure and Machine Learning
MachineLearningNotebooks
Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
MSDataPrepDocs
Documentation for Microsoft Azure Data Preparation
My-Course-on-Data-Analysis-in-italian-
Course I gave on Feb 7th 2019 at Camera di Commercio Torino, Italy
onnxmltools
ONNXMLTools enables conversion of models to ONNX. Currently supports Keras, CoreML, and SciKitLearn
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
WebApps-ariel
Web apps developed with Streamlit
Windows-Machine-Learning
Samples and Tools for Windows ML.