Development repository for the Triton language and compiler

OpenAI Triton backend for Intel® GPUs

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

RayLLM - LLMs on Ray

Pretrain, finetune and serve LLMs on Intel platforms with Ray

A CPU tool for benchmarking the peak of floating points

Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.

Real-time video and audio streams over the network, with Streamlit.

How to export PyTorch models with unsupported layers to ONNX and then to Intel OpenVINO

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

OpenVINO backend for Triton.

📚 Jupyter notebook tutorials for OpenVINO™

The ROCm Validation Suite is a system administrator’s and cluster manager's tool for detecting and troubleshooting common problems affecting AMD GPU(s) running in a high-performance computing envir…

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

ONNX Runtime: cross-platform, high performance scoring engine for ML models

『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)

This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3

Source code for experience kits with Ansible-based deployment.