Pinned Repositories
ArchProbe
A profiler to disclose and quantify hardware features on GPUs.
bark
🔊 Text-Prompted Generative Audio Model
ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
ffmpeg_beginner
食铁兽（feater.top）ffmpeg4入门系列教程代码
Hands-on-GEMM
how-to-optimize-gemm
milvus
使用Docker Stack搭建Milvus向量数据库集群
model_cryptor
深度学习模型加解密工具
PyNvJpeg
Pybind11对DALI和nvjpeg的封装, 加速机器学习和深度学习图像编解码.
ThreadPool
A simple C++11 Thread Pool implementation
yangxianpku's Repositories
yangxianpku/model_cryptor
深度学习模型加解密工具
yangxianpku/milvus
使用Docker Stack搭建Milvus向量数据库集群
yangxianpku/PyNvJpeg
Pybind11对DALI和nvjpeg的封装, 加速机器学习和深度学习图像编解码.
yangxianpku/ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
yangxianpku/ThreadPool
A simple C++11 Thread Pool implementation
yangxianpku/ArchProbe
A profiler to disclose and quantify hardware features on GPUs.
yangxianpku/bark
🔊 Text-Prompted Generative Audio Model
yangxianpku/ffmpeg_beginner
食铁兽（feater.top）ffmpeg4入门系列教程代码
yangxianpku/Hands-on-GEMM
yangxianpku/how-to-optimize-gemm
yangxianpku/How_to_optimize_in_GPU
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
yangxianpku/neon
neon优化实例代码
yangxianpku/opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
yangxianpku/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
yangxianpku/tvm_phone
tvm arm gpu opencl
yangxianpku/yangxianpku
Config files for my GitHub profile.
yangxianpku/yangxianpku.github.io