Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow
Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
MLOps samples and docs from real world projects in manufacturing industry
Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning
Ready to use scoring engines for Image, Text and Time Series
This article presents a reference architecture to enhance the compatibility of Siemens Industrial Artificial Intelligence (Industrial AI) products with Microsoft Azure.
The Near Real-time Fraud and Compliance Analytics Accelerator simplifies the fraud detection and reporting process, cutting down the time to action to prevent fraud as well as enables near real-time dashboards and analytics for streaming data.
A demand forecasting pipeline deployed on Azure and AWS
A pipeline to extract and enrich data from documents
Final project of the cloud subject, ML model trained to predict the digits that are consumed from Azure and allows them to connect in streamlit
This repository contains the necessary code to train PyTorch 2D-CNN models in Azure Machine Learning. Hyperspectral Imaging management is done to feed CNN models. When models are trained, their are registered in an Azure Machine Learning workspace, which are then used as a web service using Azure Kubernetes Service. These web service are used to…
Fahrassistenzsystem mit Schwerpunkt auf Straßenschilderkennung
This is the official repository for the Global AI Night event organised in Bucharest by Softelligence.
⚡️ Jupyter Notebook CI powered by ☁️ Azure ML (MSFT Internship 2019)
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