LQ Visual Inspector
URL: https://github.com/TebogoNakampe/leather-inspector
Description:
Leather Quality Visual Inspection: a purpose-built solution for faster, more accurate leather quality control
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oneAPI
Deliver uncompromised performance for diverse workloads across multiple architectures.
eXTreme fine-grAined concurrent taSKing framework
URL: https://gitlab.com/pnookala/llvm-openmp.git
Description:
XTASK enables extreme fine-grained parallelism across modern many-core architectures with hundreds of cores by implementing a novel lock-less multiple producer multiple consumer, out-of-order queuing mechanism for managing parallel tasks.
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ROS-oneAPI
URL: https://github.com/ftyghome/ROS-oneAPI
Description:
A ROS package that brings intel's oneAPI to the ROS framework. This repository provides an example of vector summation on ROS using the Intel oneAPI framework. With oneAPI, the summation operation can be run parallelly on CPUs, GPUs and even Intel FPGA devices.
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Gavin AI
URL: https://github.com/Gavin-Development
Description:
Gavin AI is a project, created by Scot_Survivor (Joshua Shiells) & ShmarvDogg, which aims to have Englsih human like conversations through the use of AI and ML. Gavin works on the Transformer architecture however, Performer & FNet architectures are being investigated for better scaling.
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Ensemble of Multilingual Language Models with Pseudo Labeling for offence Detection in Dravidian Languages
URL: https://github.com/Debapriya-Tula/EACL2021-DravidianTask-Bitions
Description:
we propose a multilingual ensemble-based model that can identify offensive content targeted against an individual (or group) in low resource Dravidian language. Our model is able to handle code-mixed data as well as instances where the script used is mixed (for instance, Tamil and Latin).
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SiteMana
URL: https://github.com/SiteManaApp
Description:
Using oneAPI powered personalization engine to converts a website visitors into a buyers
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DataGAN: Leveraging Synthetic Data for Self-Driving Vehicles
URL: https://github.com/srianumakonda/DataGAN
Description:
Leveraging Generative Adversarial Networks to create self-driving data at scale is crucial. By emphasizing a focus on DCGANs, I’m focusing on creating high-quality self-driving images that can be used to train and improve the performance of computer vision models.
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Skin Cancer Detection
URL: https://github.com/srianumakonda/Skin-Cancer-Detection
Description:
Used Convolutional Neural Networks + Deep Learning algorithms to create a learned agent that can perform binary classification of malignant vs benign skin cancer.
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Homogeneous and Heterogeneous Implementations of a tridiagonal solver on Intel® Xeon® E-2176G with oneMKL getrs
URL: https://github.com/olutosinbanjo/oneMKL_getrs.git
Description:
Homogeneous and Heterogeneous implementations of a tridiagonal solver with oneMKL getrs
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OneAPI HPC-AVX
URL: https://xingyuanjie.top/2021/10/23/AVX%E5%90%91%E9%87%8F%E5%8C%96%E5%AD%A6%E4%B9%A0(%E4%B8%80)/
Description:
Summary of OneApi-HPC-AVX Add two double arrays using the AVX instruction
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Computer Graphics Introduction
URL: https://gitlab.com/bkmgit/cgintro
Description:
Ray tracing tutorial example
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oneAPI example
URL: https://github.com/fgq1994/NLP-Tutorials/blob/master/transformer.py
Description:
transformer example
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English2words
URL: https://jupyter.oneapi.devcloud.intel.com/user/u110299/doc/tree/English2words
Description:
A project to identify the vocabulary frequency of the "English 2" test paper.
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3DMesh
URL: Adapt3DStruMesh
Description:
Creation of 3D Mesh for structured grid and refining process
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Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL
URL: https://github.com/SC-SGS/Distributed_GPU_LSH_using_SYCL
Description:
In the age of AI, algorithms must efficiently cope with vast data sets. We propose a performance-portable implementation of Locality-Sensitive Hashing (LSH), an approximate k-nearest neighbors algorithm, using different SYCL implementations—ComputeCpp, hipSYCL, DPC++—supporting multiple GPUs.
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rscreatelg
URL: https://github.com/cabelo/rscreatelg
Description:
This software is designed to generate holographic video for Looking Glass holographic screens. I'm not associated with the Looking Glass Factory and I developed this project in my spare time to use Looking Glass on GNU / LINUX. I use the opencv library and admire the camera's Intel Realsense camera,
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Matrix Multiplication on Intel DevCloud using DPC++
URL: https://github.com/KastnerRG/Read_the_docs/blob/master/docs/project6.rst
Description:
This project is about hardware accelaration on Intel DevCloud for one API for using DPC++ on different platforms using multicore CPU,GPU,FPGA which uses a single programming methodology for different hardware accelarator components defined in the upgrading and for a better programmity of processor.
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Dehazing Images using Feature Attention and Knowledge Distillation
URL: https://github.com/manncodes/dehazing-openvino
Description:
This project presents an end-to-end feature fusion attention network (FFA-Net) to directly restore the haze-free image. To further accelerate, we distill knowledge from a Teacher model( generally a model achieving SOTA) to the student model(with significantly less parameters than Teacher).
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CapFrameX
URL: https://github.com/CXWorld/CapFrameX
Description:
Frametimes capture and analysis tool based on Intel's PresentMon. Overlay provided by Rivatuner Statistics Server.
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DayDream
URL: https://github.com/BLILLP/IntelDemo.git
Description:
Memory management in humans, algorithms and poc using parallel processing
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