Ascend Collection

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⚔️Fighting

★★★

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

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🔮Psychic

★★★

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

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🌊Water

★★

“Heterogeneous GPU Sharing on Kubernetes”

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🔥Fire

★★

“Community maintained hardware plugin for vLLM on Ascend”

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🔥Fire

★★

“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”

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📦Normal

★★

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

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🔮Psychic

★★

“Ascend PyTorch adapter (torch_npu). Mirror of https://gitcode.com/Ascend/pytorch”

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🔮Psychic

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

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🔮Psychic

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“Persist and reuse KV Cache to speedup your LLM.”

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🔥Fire

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“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。”

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🔮Psychic

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“An interactive Ascend-NPU process viewer”

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📦Normal

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

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🔮Psychic

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

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🔥Fire

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“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。”

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🔮Psychic

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“ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark”

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📦Normal

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