A GPU cluster manager that configures and orchestrates inference engines like vLLM and SGLang for high-performance AI model deployment.

Community maintained hardware plugin for vLLM on Ascend

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

Ascend PyTorch adapter (torch_npu). Mirror of https://un5q022bg1c0.julianrbryant.com/Ascend/pytorch

Persist and reuse KV Cache to speedup your LLM.

An interactive Ascend-NPU process viewer

Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark

YOLOv5 om model inference program on the Huawei Ascend platform

在Ascend服务器上使用Dcoker创建指定的可以运行的容器

AI/DL enabled UAV platform powered by the Atlas 200 DK and Ascend Ecosystem

benchmark gpu/npu flops and bandwidth

NumPy & SciPy for GPU as well as Ascend NPU (80% math API supported, alpha)

Implement the SovleEx operator using Ascend C.

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

Using models to avoid the old fall down

NPU MFU Analyzer - 大模型训练性能分析工具 | LLM Training Performance Analyzer for Ascend NPU

Deeplabv3+ om model inference program on the Huawei Ascend platform

Implement the GroupNorm operator using Ascend C.

Ascend NPU fork of nanochat for LLM training with torch_npu/HCCL (experimental)