Community maintained hardware plugin for vLLM on Ascend

Ascend PyTorch adapter (torch_npu). Mirror of https://gitee.com/ascend/pytorch

GPU cluster manager for optimized AI model deployment

Persist and reuse KV Cache to speedup your LLM.

Audio and video (H264/H265/AAC) muxer/demuxer, encode/decode pipeline, support CPU Codec, NVIDIA, Ascend DVPP.

Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend

NumPy & SciPy for GPU as well as Ascend NPU (MVP achieved)

一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework

implement a LLM

Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)

Using models to avoid the old fall down

An interactive Ascend-NPU process viewer

The repository provides docs & api & tutorials & FAQ and all things like that.

基于自编码器的健康度实时预测模型，并在昇腾Atlas 300I Duo上实现国产化部署

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

A step-by-step guide to fine-tuning the Qwen3-8B model on Huawei Ascend via AutoDL. 一份在AutoDL平台使用华为昇腾（Ascend）对Qwen3-8B模型进行微调和推理的保姆级教程。

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark

This example demonstrates a low-level native sort with duplicate elimination. It builds array (a) from values in (b), then reconstructs (b) with unique sorted values. Runtime is n+m, where m is the maximum element. Implemented in Python, MATLAB, and JavaScript.

Grafana Dashboard for Monitoring Ascend NPU Exporter,适用于ascend-npu-exporter监控昇腾AI处理器的Grafana Dashboard

an edge-real-time anchor-free object detector with decent performance