Pinned Repositories
BigDataGuide
大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料
cuDNN-sample
cuDNN sample codes provided by Nvidia
cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
maxas
Assembler for NVIDIA Maxwell architecture
Optimizing-SGEMM-on-NVIDIA-Turing-GPUs
Optimizing SGEMM kernel functions on RTX 2080 Super to a close-to-cuBLAS performance.
pmpp__programming_massively_parallel_processors
Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (Third Edition)
py_learning
pybind11_test
uiemUI's Repositories
uiemUI/BigDataGuide
大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料
uiemUI/cuDNN-sample
cuDNN sample codes provided by Nvidia
uiemUI/cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
uiemUI/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
uiemUI/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
uiemUI/maxas
Assembler for NVIDIA Maxwell architecture
uiemUI/Optimizing-SGEMM-on-NVIDIA-Turing-GPUs
Optimizing SGEMM kernel functions on RTX 2080 Super to a close-to-cuBLAS performance.
uiemUI/pmpp__programming_massively_parallel_processors
Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (Third Edition)
uiemUI/py_learning
uiemUI/pybind11_test
uiemUI/pybind_cuda
uiemUI/raytracing.github.io
Main Web Site (Online Books)
uiemUI/simplified_cutlass
uiemUI/tcu_scope