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
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.
This article presents a reference architecture to enhance the compatibility of Siemens Industrial Artificial Intelligence (Industrial AI) products with Microsoft Azure.
A demand forecasting pipeline deployed on Azure and AWS
This is the official repository for the Global AI Night event organised in Bucharest by Softelligence.
Fahrassistenzsystem mit Schwerpunkt auf Straßenschilderkennung
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
A repo to showcase a local dev workflow to build an MLFlow model and then load it for inferencing into Azure ML.
A simple Python Tk app to automate the process of uploading invoices to the Evelstar courier portal.
⚡️ Jupyter Notebook CI powered by ☁️ Azure ML (MSFT Internship 2019)
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