Janak-Lal -

April 12, 2025

Face Detection and Recognition with Python, OpenCV, and Deep Learning: A Step-by-Step Guide

Face Detection and Recognition with Python.
The process involved using MTCNN for face detection, InceptionResnetV1 to extract face embeddings, and an SVM classifier to identify the person based on those embedding

Python 0 11 min read

April 8, 2025

Azure MLOps for Beginners: Train, Deploy and Serve a GRU forecasting model. (Part II)

In Part I for Azure MLOps for Begineers, we learnt how to train, register and deploy our model in Azure ML. In this part, we will learn how to use that endpoint to make forecast using a Flask Based web application. For basic Flask setup check : Streamlined Flask Deployment on Azure. We will build our forecasting application on the […]

Flask 0 5 min read

April 6, 2025

Azure MLOps for Beginners: Train, Deploy and Serve a GRU forecasting model.

Azure MLOps for Begineers: Train, Deploy and Serve a GRU forecasting model.

mlops 0 13 min read

April 3, 2025

Streamlined Flask Deployment on Azure: GitHub CI/CD for Rapid Web App Launch

With Azure and GitHub CI/CD, you can automate your Flask deployment process for a seamless, instant launch. This powerful combination streamlines workflows, reduces manual effort, and ensures your web application is up and running in no time. In this guide, we’ll explore how to leverage GitHub CI/CD for rapid Flask deployment on Azure, empowering developers to deliver scalable, high-performance web apps with ease.

Flask 0 2 min read

March 31, 2025

Building a Low-Light Image Enhancer with GLADNet in PyTorch

Low-Light Image Enhancer with GLADNet and Pytorch

Python 0 8 min read

Face Detection and Recognition with Python, OpenCV, and Deep Learning: A Step-by-Step Guide

Azure MLOps for Beginners: Train, Deploy and Serve a GRU forecasting model. (Part II)

Azure MLOps for Beginners: Train, Deploy and Serve a GRU forecasting model.

Streamlined Flask Deployment on Azure: GitHub CI/CD for Rapid Web App Launch

Building a Low-Light Image Enhancer with GLADNet in PyTorch

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