This project explains how to move from a Jupyter notebook phase to a production ready training script that can run in a distributed training mode using Azure ML, Horovod and TF
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Updated
May 16, 2021 - Jupyter Notebook
This project explains how to move from a Jupyter notebook phase to a production ready training script that can run in a distributed training mode using Azure ML, Horovod and TF
Detect Traffic lights using YoloV4 and use CNN for more accurately classifying the state of traffic lights
Monitor the environs of the house with multiple cameras and Raspberry Pi, Python, MQTT and Node-Red.
Building a simple chat-bot using Microsofts MetaLWOz dataset.
This project implements a Siamese Neural Network for efficient image triplet analysis, seamlessly integrating OpenCV for image collection. Three categories of images - positive, negative, and anchor - are collected using OpenCV and preprocessed to standardize dimensions to 100x100 pixels in JPEG format.
UNet detection of road networks and buildings
Vietnamese Student Feedback Sentiment Analysis
Industry 4.0 collaborations with Control2K, for using AI on IOT devices to analyse factory machinery
Data preprocessing and visualization for study pourposes, using Python language and its libraries.
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