Deliver uncompromised performance for diverse workloads across multiple architectures.
URL: https://github.com/balakrishna1202/Hackathon
We aim to create an intelligent system that can recommend personalized diets for individuals based on specific parameters like age,type of diet(vegan/non-vegan),weight and height. The system will use machine learning algorithms to analyze these parameters to generate a diet plan.
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URL: https://github.com/bhuvi28/Health-Status-Prediction
Obesity is a global health concern that is associated with various health problems. To address this issue, we propose a machine learning-based tool that predicts a person's health status based on their obesity level, which is determined using their height and weight.
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URL: https://github.com/aaronDev28/Bangalore_House_Price_Prediction_oneAPI
Bengaluru House Prediction is an ML model with a user-friendly Flask interface built using Intel One API. It predicts home prices using pandas, scikit-learn, and matplotlib. The project benefits homebuyers, agents, and developers, demonstrating data science's power.
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URL: https://github.com/shaarang123/Breast-Cancer-Classification/
In a project on breast cancer classification using neural networks and deep learning in Python.
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URL: https://github.com/KlinterAI/image-recognition-with-privacy
Integrate Privacy and Discoverability in AI Systems by Providing a Private and Secure Data Transfer through Computing and Networking Systems
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URL: https://github.com/arungeekay/Fake-Currency-Detection-Model-using-OneDAL
Prediction model to analyze the genuine characteristic of bank notes.
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URL: https://github.com/arungeekay/Mushroom-Edibility-Decision-using-OneDAL
This project involves identifying edible mushrooms using various features such as cap shape, cap color, gill size, spore print color, habitat, and other characteristics.
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URL: https://github.com/arungeekay/Diamond-Price-Prediction-using-OneDAL
OneDAL library project to build and optimize machine learning models for predicting the price of diamonds based on their various characteristics such as carat, cut, color, clarity, depth, and table.
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URL: https://github.com/caanusha/IntelOneAPI_SmartFailurePrediction
Engine Failure Prediction using Intel OneAPI
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URL: https://Sajid.com
Hello I'm interested in the future
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URL: https://www.github.com/free2ride19/air-wiggler
Air wiggle ; Project submission on https://devmesh.intel.com/ for the Learned worth consult digital technology company incoporated in Nigeria, cac no ; BN 3701056 https://www.github.com/free2ride19/air-wiggler https://www.github.com/caseg-network/air-wiggler Air wiggle aims to be a project
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URL: https://github.com/payal211/weed-detection
This project uses YOLO object detection to identify and remove weeds in agriculture. It offers an efficient, sustainable alternative to traditional pesticide-based weed management, resulting in increased yields. This system can automate weed detection and remediation, making it useful for farmers.
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URL: https://github.com/span-11/freshwater_predn_oneapi
The project is based on one of the themes Intel® oneAPI Hackathon for Open Innovation. It aims to devise a Machine Learning tool to predict the quality of freshwater
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URL: https://github.com/JoelJJoseph/CardioVasular-Disease-OneAPI
Cardiovascular Disease Prediction using Machine Learning with Intel OneAPI's Scikit-Learn Algorithm and oneDAL
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URL: https://github.com/JoelJJoseph/Sign-Language_oneApi
Creating a Sign Language Machine Learning Model for Accurate Recognition and Interpretation of ASL Gestures
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URL: https://www.youtube.com/watch?v=3LboGde_1WM
Derma diseases are common conditions with a variety of causes. Some of them can cause death like Melanoma, but with early diagnosis, we can save many lives. Dermato.AI is an AI tool that can identify, detect, and segment of 3 types of similar-looking skin diseases.
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URL: https://github.com/Nitin-Mane/Freshwater-Quality-Prediction-using-oneAPI
This project aims to predict freshwater quality using machine learning techniques, specifically Adaptive Particle Swarm Optimization (APSO) and Convolutional Neural Network (CNN). The APSO algorithm is used for feature selection, while the CNN is used for classification. The model achieved an accura
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URL: https://github.com/Nitin-Mane/Automated-Weed-Detection
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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URL: https://github.com/Santhoshkumard11/fresh-water-classifier
Deploying a binary classification model on Azure Function to do on-demand predictions at scale powered by Intel oneAPi AI Analytics Toolkit. We have multiple versions of the model with varying f1 scores - the latest model has 94 as it's f1 score. Integrated GitHub actions with GitHub repo to make se
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URL: https://gitee.com/doraemon22333/parallel-operation
根据数学知识用三重循环实现矩阵乘法的基础上，改变循环的次序增大cache命中率，以及实现分块矩阵乘法，在这些基础上采用并行算法实现矩阵乘法，矩阵分块乘法
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