autonomous vehicle object detection / oneAPI
URL: https://github.com/vishnu2909200/autonomous_-vehicles-_oneapi.git
Description:
using deep learning to train a model and using intel one API to reduce a running time and compress a model
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oneAPI
Deliver uncompromised performance for diverse workloads across multiple architectures.
Object Detection for Autonomous Vehicles
URL: https://github.com/rppadmakumar3/ObjectDetectionOneAPI
Description:
Developing a deep learning model for safe autonomous vehicle navigation, accurately detecting objects with low latency. Implemented Intel extension for PyTorch and Neural Compressor to optimize training and inference speed, aiming for an efficient system to advance autonomous vehicle technology.
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Phishing Website Detection
URL: https://github.com/gangeshbaskerr/Phishing-Website-Detection
Description:
This project presents an enhanced approach for phishing site detection, leveraging advanced machine learning techniques. Various ML algorithms like Decision Tree, Random Forest, Multilayer Perceptrons, XGBoost, Autoencoder Neural Networks and Support Vector Machines have been compared.
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AI university assignments and workshops utilizing Intel oneAPI
URL: https://github.com/muriloboratto/AI-intelOneAPI
Description:
Assignments and workshops, students become aware of the breadth of Intel AI portfolio and practical experience of the benefits of using Intel AI software and hardware co-optimized solutions. By default, students consider Intel's AI portfolio for their future academic and professional AI projects.
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Consumer Sentiment Analysis using AI
URL: https://github.com/sammajum706/Intel_OneAPI_SentimentAnalysis
Description:
Recent research suggests an emerging trend in the use of artificial intelligence to exceed human capabilities. One such application of AI is Sentiment Analysis, which shows potential in assessing the performance of products, marketing campaigns, and customer services.
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sklearn and OneAPI
URL: https://github.com/tao011110/OneAPI/tree/master
Description:
Use sklearn and oneapi
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Polynomial regression using oneapi
URL: https://github.com/CLiang-git/oneAPI
Description:
Use sklearn with oneapi to do polynomial regression.
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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).
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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.
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Use sklearn with oneapi
URL: https://github.com/Okabe-Rintarou-0/oneAPI-samples/blob/master/covid.ipynb
Description:
Use sklearn with oneapi
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oneAPI加速CNN训练
URL: https://github.com/Zhou-Yuhong/oneApi
Description:
使用Intel oneAPI加速CNN训练
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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.
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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.
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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
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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
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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.
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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.
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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.
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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.
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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.
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