quic / ai-engine-direct-helper
☆32Updated 3 weeks ago
Alternatives and similar repositories for ai-engine-direct-helper:
Users that are interested in ai-engine-direct-helper are comparing it to the libraries listed below
- Fork of https://source.codeaurora.org/quic/hexagon_nn/nnlib☆57Updated last year
- symmetric int8 gemm☆66Updated 4 years ago
- stable diffusion using mnn☆65Updated last year
- Tencent NCNN with added CUDA support☆69Updated 4 years ago
- Qualcomm Hexagon NN Offload Framework☆42Updated 4 years ago
- Inference RWKV v5, v6 and v7 with Qualcomm AI Engine Direct SDK☆62Updated this week
- Common libraries for PPL projects☆29Updated 3 weeks ago
- MegEngine到其他框架的转换器☆69Updated last year
- mperf是一个面向移动/嵌入式平台的算子性能调优工具箱☆179Updated last year
- ☆36Updated 5 months ago
- ☆130Updated 3 weeks ago
- arm-neon☆90Updated 8 months ago
- Large Language Model Onnx Inference Framework☆32Updated 2 months ago
- CVFusion is an open-source deep learning compiler to fuse the OpenCV operators.☆29Updated 2 years ago
- ☆95Updated 3 years ago
- Offline Quantization Tools for Deploy.☆126Updated last year
- VeriSilicon Tensor Interface Module☆233Updated 2 months ago
- llm deploy project based onnx.☆35Updated 5 months ago
- Tencent Distribution of TVM☆15Updated last year
- ☆40Updated 2 years ago
- This is a demo how to write a high performance convolution run on apple silicon☆54Updated 3 years ago
- MediaTek's TFLite delegate☆44Updated 11 months ago
- Snapdragon Neural Processing Engine (SNPE) SDKThe Snapdragon Neural Processing Engine (SNPE) is a Qualcomm Snapdragon software accelerate…☆34Updated 2 years ago
- ☆58Updated 4 months ago
- An easy way to run, test, benchmark and tune OpenCL kernel files☆23Updated last year
- A Toolkit to Help Optimize Large Onnx Model☆154Updated 10 months ago
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆111Updated this week
- A set of examples around MegEngine☆31Updated last year
- ☆139Updated 11 months ago
- focus on implementation of ggml-hexagon backend for Qualcomm's Hexagon NPU, details can be seen at https://github.com/zhouwg/ggml-hexagon…☆13Updated this week