Intel Software

AIGamedevToolkit

Foundation layer for AI Gamedev Toolkit which can be built upon by dev community

ForestFirePrediction

Forest fire prediction using finetuning on CPU with MODIS and NAIP aerial photos and resnet with acceleration using Intel Extensions for PyTorch

Intel-Extensions-for-Scikit-learn-Essentials-for-Machine-Learning

Jurassic

Jurassic

Machine-Learning-using-oneAPI

Machine Learning using oneAPI. Explores Intel Extensions for scikit-learn* and NumPy, SciPy, Pandas powered by oneAPI

OpenGLBestPracticesfor6thGenIntelProcessor

Game developers often use OpenGL to handle the rendering chores for graphics-intensive games. OpenGL is an application programming interface for efficiently rendering two- and three-dimensional vector graphics. The code samples are a series from Grahics API developer guide for for 6th generation Intel® Core™ processor (https://software.intel.com/en-us/articles/6th-gen-graphics-api-dev-guide) that demonstrates how to get the most out of OpenGL 4.4 and higher.

Python-Loop-Replacement-with-NumPy-and-PyTorch

Python Loop Replacement with NumPy and PyTorch - Fancy Slicing, UFuncs and equivalent, Aggregations, Sorting and more

Tutorial-Password-Manager-with-Intel-SGX

This sample code demonstrates a password manager utilizing Intel SGX.

ue4-parallel

Demo of parallel-for flocking algorithm on Unreal4

unity-parallel-gpu

IntelSoftware/ue4-parallel

Demo of parallel-for flocking algorithm on Unreal4

IntelSoftware/AIGamedevToolkit

Foundation layer for AI Gamedev Toolkit which can be built upon by dev community

IntelSoftware/OpenGLBestPracticesfor6thGenIntelProcessor

Game developers often use OpenGL to handle the rendering chores for graphics-intensive games. OpenGL is an application programming interface for efficiently rendering two- and three-dimensional vector graphics. The code samples are a series from Grahics API developer guide for for 6th generation Intel® Core™ processor (https://software.intel.com/en-us/articles/6th-gen-graphics-api-dev-guide) that demonstrates how to get the most out of OpenGL 4.4 and higher.

IntelSoftware/Machine-Learning-using-oneAPI

Machine Learning using oneAPI. Explores Intel Extensions for scikit-learn* and NumPy, SciPy, Pandas powered by oneAPI

IntelSoftware/Tutorial-Password-Manager-with-Intel-SGX

This sample code demonstrates a password manager utilizing Intel SGX.

IntelSoftware/ForestFirePrediction

Forest fire prediction using finetuning on CPU with MODIS and NAIP aerial photos and resnet with acceleration using Intel Extensions for PyTorch

IntelSoftware/Jurassic

Jurassic

IntelSoftware/unity-parallel-gpu

IntelSoftware/Python-Loop-Replacement-with-NumPy-and-PyTorch

Python Loop Replacement with NumPy and PyTorch - Fancy Slicing, UFuncs and equivalent, Aggregations, Sorting and more

IntelSoftware/Intel-Extensions-for-Scikit-learn-Essentials-for-Machine-Learning

IntelSoftware/aigamedevtoolkit-starter-demos

Demos intended to be run with AI GameDev Toolkit (separate download)

IntelSoftware/unity-parallel-cpu

IntelSoftware/particle_fountain_vulkan_gpu

IntelSoftware/PC-Skills-Framework

IntelSoftware/Introduction_to_Machine_Learning

Introduction to Machine Learning with focus on Scikit-learn* algorithms and how to accelerate those algorithms with a couple of line of code on CPU using Intel Extensions for Scikit-learn

IntelSoftware/NumPy_Optimizations

Exercises to replace loops with NumPy function equivalents to gain 10X to 100sX acceleration over simple minded python loop access

IntelSoftware/particle_fountain_vulkan_cpu

IntelSoftware/PyTorch_Optimizations

Describe how Intel SIMD and Cache optimization provided by Intel oneMKL-DNN as well as the Intel Extensions for PyTorch can accelerate your pytorch workloads especially prior to training loop or during post processing. Also explore how to use Intel Extensions to PyTorch and how to access Intel GPU for PyTorch

IntelSoftware/scikit-learn_essentials

Course demonstrating how to using SYCL context and Intel(R) Extensions for scikit-learn* to optimize selected sklearn algorithms and target them for gpu

IntelSoftware/DL-using-oneAPI

Focus will be on Deep Learning optimizations using oneAPI

IntelSoftware/.github

IntelSoftware/Intel_oneAPI_MKL_Training

This is a series of sample exercises demonstrating how to use oneMKL

IntelSoftware/sd_ws

Material for the Diffusers Workshop on ITDC

IntelSoftware/SYCL_101

From zero to oneAPI Hero

IntelSoftware/webnn_workshop

Material for WebNN Workshop