yester31
As a seasoned AI programmer, I excel in deep learning model inference optimization, utilizing advanced techniques like quantization, and pruning.
Seoul, Republic of Korea
Pinned Repositories
CUDA_EX
CUDA kernel functions
Cutlass_EX
study of cutlass
GEMM_Conv2d_CUDA
CUDA Gemm Convolution implementation
OneDNN_EX
Deep Learning model with OneDNN
OpenCL_EX
Development of deep learning inference code by OpenCL kerenl function.
Quantization_EX
quantization example for pqt & qat
Real_ESRGAN_TRT
Real ESRGAN Optimization Using by TensorRT API, linux
TensorRT_API
Deep Learning Model Optimization Using by TensorRT API, window
TensorRT_Sparse
inference with the structured sparsity and quantization
Winograd_Conv2d_cpp
Winograd Convolution Implementation using by cpp
yester31's Repositories
yester31/DL_Layer
Making a Deep Learning Framework with C++
yester31/algorithm_study
알고리즘 공부
yester31/Conventional_Conv2d_cpp
yester31/Cudnn_model
cudnn model study
yester31/GEMM_Conv2d_cpp
yester31/winograd1d_Conv_cuda
winograd 1d convolution using by cuda
yester31/Winograd_Strassen_Conv2d_cpp
winograd with strassen algorithm implementation