sklearn and OneAPI
URL: https://github.com/tao011110/OneAPI/tree/master
Description:
Use sklearn and oneapi
Posted:
oneAPI
Deliver uncompromised performance for diverse workloads across multiple architectures.
Polynomial regression using oneapi
URL: https://github.com/CLiang-git/oneAPI
Description:
Use sklearn with oneapi to do polynomial regression.
Posted:
SYCLSpine :FlexiCare
URL: https://github.com/Srilekha-09/mhealth
Description:
Underserved communities lack access to quality healthcare for spinal problems Limited resources, and inadequate diagnostic tools hinder timely and accurate diagnosis and treatment To address this, an innovative solution using Intel OneAPI and SYCL technology is needed i.e SYCL SPINE(Smart belt).
Posted:
PREDICTING CONSUMER SENTIMENTS-SAFE&SECURE
URL: https://github.com/MohamedFarhun/IntelOneAPICodeMaven_Safe-Secure
Description:
My code predicts the sentiments underlying tweets received in real time using tweepy and categorise them as positive, negative, or neutral, this script first performs EDA before preprocessing numerous datasets to train a bidirectional LSTM model.
Posted:
Use sklearn with oneapi
URL: https://github.com/Okabe-Rintarou-0/oneAPI-samples/blob/master/covid.ipynb
Description:
Use sklearn with oneapi
Posted:
oneAPI加速CNN训练
URL: https://github.com/Zhou-Yuhong/oneApi
Description:
使用Intel oneAPI加速CNN训练
Posted:
Predicting Consumer Sentiment
URL: https://github.com/Mahesh-Alyana/oneAPI-Intel
Description:
This project aims to build a predictive model for sentiment analysis using social media data related to a particular brand or product. The model uses LDA for topic modeling and feature extraction, and SVR for sentiment score prediction.
Posted:
Consumer Sentiments Prediction System by OneAPI 2023
URL: https://github.com/Ashish-Waykar/INTEL-OneApi
Description:
This project targets to create Consumer Sentiments Prediction System Usnig ONEAPI patched intelx-scikitlearn library which is build using XBGOOST pipelining and ansemble methods of knn and random forest algorithms to perform outstanding accuracy for predictions.
Posted:
AQI(Air Quality Index)_Classification
URL: https://github.com/nithinskumar866/AQI_Classification.git
Description:
This project aims to classify air quality using a dataset on pollution levels. Employing the Random Forest model and oneAPI optimization, it achieves 99.8% accuracy. The system can aid urban planning, environmental monitoring, and public health initiatives, identifying regions with poor air quality
Posted:
Stable Diffusion AI for Image using Intel oneAPI Toolkit
URL: https://github.com/er-ai-gk
Description:
The combination of Stable Diffusion AI and Intel oneAPI provides a powerful solution for enhancing image quality in various applications, including photography, video processing, medical imaging, and more. It enables developers to create visually appealing and high-quality images by leveraging Intel
Posted:
fitassist
URL: https://github.com/cabelo/fitassist
Description:
Given that an instructor cannot supervise all students simultaneously, this system allows the instructor to receive alerts when students do not correctly complete the sequence of physical exercises.
Posted:
Drug_classification
URL: https://github.com/Aditya-2505/Drug_classification.git
Description:
I implemented a drug classification system using oneAPI and the Random Forest algorithm. Achieved 96.6% accuracy. Dataset with drug attributes used for training. Promising results for pharmaceutical applications.
Posted:
Intel oneAPI Sign Language Gesture Translator using MediaPipe
URL: https://github.com/Er-AI-GK/oneAPI-Sign-Language-Gesture-Translator.git
Description:
The Intel oneAPI Sign Language Gesture Translator uses MediaPipe and Intel's oneAPI platform for real-time translation of sign language gestures. It bridges communication gaps by capturing and interpreting gestures, enabling effective communication between sign language and non-sign language users.
Posted:
Cardiovascular Disease Prediction using ML (Machine Learning) with oneAPI
URL: https://github.com/rithvika7495/Cardiovascular-Disease-Prediction-With-OneAPI
Description:
Predict cardiovascular disease using OneAPI - an efficient and powerful solution combining machine learning algorithms with Intel technologies. Improve diagnosis and treatment with accurate predictions.
Posted:
Credit Card Fraud Detection using Machine Learning (ML) with OneAPI
URL: https://github.com/rithvika7495/Credit-Card-Fraud-Detection-OneAPI
Description:
Credit card fraud detection using oneAPI leverages machine learning to detect fraudulent transactions, enabling secure financial transactions. Enhances fraud detection accuracy and efficiency with Intel's powerful oneAPI framework. Protects users from financial losses.
Posted:
knnsample
URL: https://github.com/dxy369/oneAPIexamples
Description:
use oneapi to accelerate knn
Posted:
Efficient ECG Auto-diagnosis Application for Underserved Communities using Intel® OneAPI AI Analytics Toolkit in Intel® DevCloud JupyterHub
URL: https://huggingface.co/spaces/deepthiaj/Electro_oneAPI
Description:
The ECG auto-diagnosis application is intended to provide efficient diagnosis of heart conditions for underserved communities by leveraging the advanced capabilities of the Intel® oneAPI AI Analytics Toolkit and Libraries for high-performance ECG signal processing.
Posted:
Xbyak
URL: https://github.com/herumi/xbyak
Description:
A C++ JIT assembler for x86 (IA32), x64 (AMD64, x86-64)
Posted:
Breast Cancer Classification
URL: https://github.com/sangamithrra/Breast-cancer-classification-using-intel-Oneapi
Description:
The objective of this project is to develop a classification model using KNN and logistic regression algorithms to classify tumor cells as malignant or benign based on clinical and pathological features.
Posted:
Increment Calculator
URL: https://github.com/MuzamilDev/Incremental-Calculator/blob/main/incremental%20calculator.cpp
Description:
It is increment based computer software program that will I,e calculate Increment in pay by all other government departments for Job & employee.
Posted: