There are 0 repository under ascend topic.
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)
Community maintained hardware plugin for vLLM on Ascend
A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架,快速基于AI全栈服务、开发跨端边云的AI行业应用,支持GPU,NPU加速。
Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..
Persist and reuse KV Cache to speedup your LLM.
Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
Audio and video (H264/H265/AAC) muxer/demuxer, encode/decode pipeline, support NVIDIA, Ascend DVPP.
A 2D point'n'click-like adventure game written in Qt/QML and Javascript
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
YOLOv5 om model inference program on the Huawei Ascend platform
Grafana Dashboard for Monitoring Ascend NPU Exporter,适用于ascend-npu-exporter监控昇腾AI处理器的Grafana Dashboard
AI/DL enabled UAV platform powered by the Atlas 200 DK and Ascend Ecosystem
基于Atlas200DK的智能门禁系统
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。
Porting Caffe, a deep learning framework, to HUAWEI Atlas 200 DK.
NumPy & SciPy for GPU as well as Ascend NPU (MVP achieved)
Deeplabv3+ om model inference program on the Huawei Ascend platform
Implement the GroupNorm operator using Ascend C.
MindXDL Operator project is to manage the infrastructure required for Ascend in a containerized manner. This involves components such as firmware, drivers, runtime, device-plugin, nodeD, export, and ascend-volcano
Ramalama is an open-source tool that simplifies the local use and serving of AI models for inference from any source through the familiar approach of containers.
MindX DL 组件部署/ 静态虚拟化、动态虚拟化 6.0.RC2
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.