Artificial Intelligence

Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.

Emotion prediction using EEG or Brain machine interfacing

URL: https://colab.research.google.com/drive/1qSPydVQBqyVrHIr1n36XIbubFX6BMdKo

Description:

The project involves using brain-machine computing to predict emotions. This likely involves using brainwave data to identify patterns that correspond with different emotional states. The project is currently in progress, i am still collecting data, developing algorithms........

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Single Cell RNA Analysis using Intel oneAPI AI Analytics toolkit

URL: https://github.com/krittika08k/odd

Description:

a user-friendly interface to perform single-cell RNA sequencing analysis on selected datasets using various machine learning classification algorithms. The objective of the project is to help researchers, biologists, and clinicians to identify and classify cancerous and non-cancerous cells accuratel

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Automated Weed Detection and Removal in Agricultural Fields Using oneAPI Toolkit

URL: https://github.com/Nitin-Mane/Automated-Weed-Detection

Description:

The proposed method uses a Residual Network (ResNet) architecture with Auto Mixed Precision (AMP) to classify images of crops and weeds. The use of AMP allows for dynamic adjustment of the precision of computations during training and inference, which can improve the model's performance.

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Stroke_prediction using Machine learning

URL: https://github.com/AkshayRamakrishnann/Stroke_prediction

Description:

Modern technologies allow for noninvasive medical aid. Stroke is the most fatal of the four major cardiovascular conditions, yet early detection can save a patient's life. Using machine learning techniques, this project implements a clean method for the early identification of strokes with the help

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