Optimized, scalable AI model deployment on GPU clusters

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://gitee.com/ascend/pytorch

Persist and reuse KV Cache to speedup your LLM.

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

An interactive Ascend-NPU process viewer

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

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

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

benchmark gpu/npu flops and bandwidth

Implement the SovleEx operator using Ascend C.

Deeplabv3+ om model inference program on the Huawei Ascend platform

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

Implement the GroupNorm operator using Ascend C.

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.

Ascend competition: CAN in Mindspore