Drive faster breakthroughs through faster code: Get more results on your hardware today and carry your code forward to the future with code modernization.
URL: https://github.com/arthurratz/intel_max_miner_oneapi
This project demonstrates the using of the Intel® oneAPI library to deliver a modern code in Data Parallel C++, implementing a Parallel Max-Miner algorithm to optimize the performance of the association rules learning (ARL) process
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HPCToolkit is an open-source performance tool that is in some respects similar to VTune, though it also works on Power and ARM architectures. It also works on NVIDIA and AMD GPUs. Our aim is to also use it for performance analysis of Intel GPUs with Intel’s OpenCL to our targets as a prelude to A0
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URL: https://github.com/arthurratz/intel_parallel_stable_sort_oneapi
A case-study of the classical three-way quicksort performance optimization using the revolutionary Intel® oneAPI HPC Toolkit
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URL: https://github.com/menotti/oil_gas_fpga
The objective of this project is to use GPUs and FPGAs to accelerate applications in the oil and gas area.
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URL: graph order
Test Project for Graph Theoretical Calculation https://ieeexplore.ieee.org/abstract/document/4586138
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URL: https://software.intel.com/oneapi/render-kit
Learn how to use the Intel® oneAPI Rendering Toolkit for high fidelity visualization and photo-realistic rendering and how it gets used in games today.
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URL: https://github.com/zjin-lcf/oneAPI-DirectProgramming
This repository contains a collection of data-parallel programs for evaluating oneAPI direct programming. Each program is written with CUDA, SYCL, and OpenMP target offloading. Intel® DPC++ Compatibility Tool (DPCT) can convert a CUDA program to a SYCL program
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URL: https://github.com/f66blog/jupyter-ifort-kernel
Learn modern Fortran with jupyter environment.
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URL: https://github.com/bkmgit/simple-visualization-demo
Demonstrate first principles in situ visualization
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URL: https://github.com/Apress/pro-TBB
The latest book on Threading Building Blocks (TBB) was recently published by Apress. The book comes with code samples available on GitHub. This project intends to port some of the examples to oneAPI to take advantage of the new features of this promising heterogeneous programming model.
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URL: https://github.com/hexagontechinc/WIP
Streamed vibration charts are analyzed by an AI system in real time. Detected anomalies are logged and surrounding environment data is captured for further model learning purposes. The application is machine anomaly detection for predictive maintenance.
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URL: https://github.com/cabelo/oneapi-antispoofing
Certiface AntiSpoofing use oneAPI for fast decode video for perform liveness detection with inference. The system is capable of spotting fake faces and performing anti-face spoofing in face recognition systems.
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URL: https://github.com/ginkgo-project/ginkgo
In this project, we want to explore the potential of having an Intel OneAPI backend for the Gingko software package: https://ginkgo-project.github.io/
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URL: https://github.com/VTSynergy/MetaMorph
Productive OpenCL programming is inhibited by the need to create and maintain a verbose host-to-device interface to prepare and utilize on-device computational kernels. This project seeks to extend an auto-generator for this boilerplate to offline-compiled kernels running on Intel FPGAs.
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URL: https://github.com/ksajan/Smart-Pole
Why waste so much space building a smart city by putting so many devices for connection, when only one is enough. A simple Pole is equipped with a Raspberry-pi which controls and sends information from Security camera Camera and Mobile signal, Emergency and energy-efficient source.
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URL: https://github.com/nilutpolkashyap/face-recognition
Face Recognition System made in Python using opencv and numpy. I made this project during my 2nd semester of Btech CSE in March 2019 as part of a project.
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URL: https://github.com/NikhilMunna/Human_Face_DCGANs
Human face Generation using Deep convolutional neural networks from a noise image using Tensorflow
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Chest X-Rays are the most common and cost-effective radiology studies for diagnosing various lung disease. We created an end-to-end Deep learning solution for Chest X-ray diagnosis. It will be a cost-effective solution for rural population with inadequate access to diagnostic imaging specialists.
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URL: https://github.com/animeshdutta888/System-Failure-Prediction-using-log-analysis
Achieving accurate predictions for a system failure with adequate time left is quite difficult. In this project, I present a simple approach to detect the failure by parsing the log files quite in advance. We generate an early warning before a failure condition arises
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URL: https://github.com/CodeAayu/devFestBackEnd
A simple Django Server to capture all the GitHub WebHooks for the organization and creating a RESTful API endpoint to get those in whatever platform(Android, Web app, website,etc) the organization will like to get.
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