arielcedola
PhD/Engineer with +10 years of experience in academia and industry solving complex problems with algorithms and extracting actionable information from data.
Welol Next srl/LINKS FoundationTorino, Italy
Pinned Repositories
AI-PredictiveMaintenance
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
Drift-diffusion-device-simulation
Pyhton algorithm for numerical simulation of heterostructure devices
kmeans
vscode-tools-for-ai
VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.
arielcedola's Repositories
arielcedola/kmeans
arielcedola/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/arielcedola.github.io
My Data Science website!
arielcedola/azure-event-hubs-python
Python client library for Azure Event Hubs
arielcedola/azure-stream-analytics
Azure Stream Analytics
arielcedola/cognitive-services-speech-sdk
Sample code for the Microsoft Cognitive Services Speech SDK
arielcedola/data-simulator-for-iDA
Simulation of sensor data in streaming
arielcedola/awesome-dotnet
A collection of awesome .NET libraries, tools, frameworks and software
arielcedola/azure-event-hubs
☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
arielcedola/azure-functions-python-worker
Python worker for Azure Functions.
arielcedola/Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
arielcedola/CodeGen2018
Repository contenente il materiale di CodeGen 2018
arielcedola/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.
arielcedola/DP-200-Implementing-an-Azure-Data-Solution
arielcedola/DP100
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
arielcedola/EngineeringMLOps
Engineering MLOps, published by Packt
arielcedola/examples-for-data-scientists
arielcedola/functions
MLRun template functions and examples
arielcedola/google-cloud-python
Google Cloud Client Library for Python
arielcedola/LearnAI_Azure_ML
This repository contains training material related to Azure and Machine Learning
arielcedola/MachineLearningNotebooks
Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.
arielcedola/ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
arielcedola/MSDataPrepDocs
Documentation for Microsoft Azure Data Preparation
arielcedola/My-Course-on-Data-Analysis-in-italian-
Course I gave on Feb 7th 2019 at Camera di Commercio Torino, Italy
arielcedola/onnxmltools
ONNXMLTools enables conversion of models to ONNX. Currently supports Keras, CoreML, and SciKitLearn
arielcedola/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
arielcedola/SR4MT
Speech recognition for memory training (ongoing...)
arielcedola/tech-immersion-data-ai
arielcedola/WebApps-ariel
Web apps developed with Streamlit
arielcedola/Windows-Machine-Learning
Samples and Tools for Windows ML.