An interactive Ascend-NPU process viewer
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Updated
Jan 1, 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.Shi Shi Liu Mei Ti Ji Shen Du Xue Xi Tui Li Jia Su Tong Yong Chu Li Kuang Jia ,Zhi Chi H264, H265, AAC, MP4, FLV, RTSP, RTMP, YOLO.
Ascend NPU fork of nanochat for LLM training with torch_npu/HCCL (experimental)
A repository to store neural network test code.
Run nanochat training efficiently on Huawei Ascend NPUs with minimal code changes, supporting tokenizer, pretraining, and evaluation workflows.
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