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ascend

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Here are 177 public repositories matching this topic...

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Syllo / nvtop

Star 11.1k

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

linux apple monitoring amd gpu intel ncurses nvidia command-line-tool huawei adreno ascend
  • Updated Nov 12, 2026
  • C

gpustack / gpustack

Star 6k

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

cuda inference openai llama maas rocm ascend llm llm-serving vllm genai llm-inference qwen deepseek sglang distributed-inference high-performance-inference mindie
  • Updated Nov 13, 2026
  • Python

Project-HAMi / HAMi

Star 5k

Heterogeneous GPU Sharing on Kubernetes

kubernetes cncf nvidia gpu-acceleration kubernetes-gpu-cluster metax device-plugin cambricon gpu-management ascend vgpu gpu-shareable gpu-virtualization hygon iluvatar mthreads vgpu-hypervisor
  • Updated Nov 13, 2026
  • Go

data-infra / cube-studio

Star 2.6k

cubestudio开源云原生一站式机器学习/深度学习/大模型AI平台/MaaS/mlops/人工智能平台/训推平台,算法全链路流程,多租户,算力租赁平台,token中转,拖拉拽任务流pipeline编排,多机多卡分布式训练,超参搜索,推理服务,VGPU虚拟化,云边端协同,边缘计算,自动化标注平台,deepseek等大模型sft微调/奖励模型/强化学习训练,vllm/ollama/mindie大模型多机推理,私有知识库llmops智能体,AI模型市场,支持国产异构算力调度,昇腾/寒武纪/海光/摩尔/沐曦等,支持ib/roce/RDMA,信创支持

kubernetes workflow machine-learning pipeline inference maas automl mlops npu ascend vgpu ai-platform cube-studio llmops deepseek cubestudio
  • Updated Oct 12, 2026
  • Python

nndeploy / nndeploy

Star 1.9k

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

python workflow ai deep-learning deployment pytorch transformer low-code no-code tensorrt mnn openvino ascend onnxruntime low-code-platform llm diffusers genai
  • Updated Nov 11, 2026
  • C++
torch-rechub

datawhalechina / torch-rechub

Star 1.2k

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

deep-learning pytorch recommendation-system recsys recommendation-engine recommender-system recommendation-algorithms ctr-prediction onnx npu ascend llm generative-recommendation hstu
  • Updated Nov 10, 2026
  • Jupyter Notebook

Ascend / pytorch

Star 607

As the core component of the Huawei Ascend for PyTorch community, TorchNPU is a deep learning adapter plugin built by Ascend for PyTorch, enabling the PyTorch framework to directly invoke Ascend NPU and providing developers with the powerful compute capabilities of Ascend AI processors.

deep-learning pytorch ascend
  • Updated Nov 13, 2026
  • Python

LSH9832 / edgeyolo

Star 531

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

computer-vision deep-learning pytorch yolo object-detection tensorrt mnn edge-computing onnx ascend anchor-free object-detector rknn rk3588 rk3588s
  • Updated Apr 20, 2026
  • Python

ModelEngine-Group / unified-cache-management

Star 355

Persist and reuse KV Cache to speedup your LLM.

gpu cuda nfs torch ssd dram hbm ucm npu ascend llm vllm deepseek kvcache
  • Updated Nov 13, 2026
  • C++
MACaQ

huawei-csl / MACaQ

Star 215

SOTA model-agnostic quantization for GGUF, local inference and beyond. Quantize and run text, image, video and audio models with llama.cpp, vLLM, Diffusers and PyTorch.

audio image-generation quantization video-generation ascend audio-generation llm diffusers local-inference llama-cpp vllm local-ai gguf gguf-quantization
  • Updated Nov 12, 2026
  • C++

Krusty84 / triton-ascend-agent-dev-kit

Star 189

A toolkit for AI agents used for development on Triton-Ascend for Ascend NPU

ai opencode triton codex npu ascend ascend-npu claude-code triton-ascend
  • Updated Aug 15, 2026
  • Shell

modelsphere / modelsphere

Star 181

ModelSphere is an open-source LLM inference infrastructure designed to make production-grade model serving simple, efficient, and continuously optimized.

kubernetes ansible gpu inference helmfile ascend llm vllm sglang modelsphere
  • Updated Nov 13, 2026
  • Shell

modelbox-ai / modelbox

Star 159

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。

framework ai deep-learning pipeline tensorflow gpu cuda inference pytorch rockchip cloud-service ascend mediapipe mindspore modelbox mindsopre rk3588
  • Updated Jun 6, 2024
  • C++

youyve / nputop

Star 144

An interactive Ascend-NPU process viewer

linux monitor pip command-line-tool htop cann monitoring-tool conda-forge npu ascend npu-smi nputop
  • Updated Oct 10, 2026
  • Python

Ascend / triton-ascend

Star 130

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

compiler triton ascend
  • Updated May 18, 2026
  • MLIR

GewelsJI / DGNet

Star 125

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

deep-learning pytorch camouflage ascend jittor camouflaged-object-detection concealed-object-detection
  • Updated Aug 15, 2025
  • Python

BreakingY / Media-Cognition-Pipeline

Star 80

A general-purpose real-time streaming media and deep learning inference acceleration framework, supporting H264, H265, AAC, MP4, FLV, RTSP, RTMP, and YOLO.

h264 rtsp ffmpeg rtmp visual flv aac jetpack nvidia yolo codec h265 jetson cann ascend dvpp bytetrack hardcodec
  • Updated Oct 28, 2026
  • C++

zjunlp / ChineseHarm-bench

Star 73

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark

benchmark natural-language-processing resource artificial-intelligence safety chinese ascend large-language-models harmful-content-detection knowledge-augmentation chineseharm-bench
  • Updated Sep 2, 2025
  • Python

larpon / DeadAscend

Star 69

A 2D point'n'click-like adventure game written in Qt/QML and Javascript

javascript android game qt qml game-2d qt5 adventure-game point-and-click tower ascend
  • Updated Aug 21, 2024
  • QML

lvyufeng / PocketLLM

Star 55

Inference engine for large language models on consumer GPUs, with deep optimization for older hardware

cuda inference pytorch moe glm minimax quantization inference-engine ascend llm qwen deepseek consumer-gpu rtx-2080-ti
  • Updated Oct 20, 2026
  • Python

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