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
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
Automated GLM interaction detection via CANN, NID scores, and SHAP interaction values for insurance pricing.
Cholesky decomposition reference implementation on Ascend NPU
A repository to store neural network test code.
Linear classification of CIFAR-10 dataset with MindSpore
Read-only mirror of https://gitcode.com/donaldsebleung/my-ascend-notebook-images
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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