An interactive Ascend-NPU process viewer
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Updated
May 6, 2026 - Python
An interactive Ascend-NPU process viewer
A general-purpose real-time streaming media and deep learning inference acceleration framework, supporting H264, H265, AAC, MP4, FLV, RTSP, RTMP, and YOLO.实时流媒体及深度学习推理加速通用处理框架,支持H264、H265、AAC、MP4、FLV、RTSP、RTMP、YOLO。
RAG for visually rich documents — layout, formula and table structure survive the pipeline. Ported from CUDA to Huawei Ascend NPUs and tested on Ascend 910C.
Ascend NPU fork of nanochat for LLM training with torch_npu/HCCL (experimental)
Predicting California house prices with MindSpore
Automated GLM interaction detection via CANN, NID scores, and SHAP interaction values for insurance pricing.
Native AscendC Mamba2 selective scan / SSD forward-backward custom operator for Huawei Ascend 910B3 and 950PR, with CANN, torch_npu, A100 benchmarks and msprof profiling.
Out-of-tree HCCL Task DAG and P2P traffic capture studio
Cholesky decomposition reference implementation on Ascend NPU
Linear classification of CIFAR-10 dataset with MindSpore
Read-only mirror of https://gitcode.com/donaldsebleung/my-ascend-notebook-images
A repository to store neural network test code.
Deploy GLM-4.6V-Flash (9B dense VLM) on Huawei Ascend 910B NPU with vLLM - multimodal, OpenAI API, single/dual-card serving, reproducible benchmarks.
jupyter-tool 可以把 GitCode CANN 在线体验里的 JupyterLab notebook 当作远端 shell 使用,并支持本地和远端之间复制文件。
Minimal runnable Ascend C (CANN) operator examples on cannsim card-free (no-NPU) CAModel simulation
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