A high-throughput and memory-efficient inference and serving engine for LLMs

Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

🎨ComfyUI standalone pack for Intel GPUs. | 英特尔显卡 ComfyUI 整合包

Purplecoin/XPU Core integration/staging tree

Self-contained Python lib with zero-dependencies that give you a unified device properties for gpu, cpu, and npu. No more calling separate tools such as nvidia-smi or /proc/cpuinfo and parsing it yourself.

Template for starting PyTorch projects with Intel GPUs (XPU) on Windows.

E/W Network Management

Sentiment classification app built with RoBERTa and optimized using Intel OpenVINO for deployment on Intel XPU devices. This project demonstrates how large language models (LLMs) can be fine-tuned and accelerated for real-time inference, making it ideal for low-latency AI applications.

basic,intermidate,advanced levels of devlopment's