Pinned Repositories
CPP-17-STL-cookbook
作为对《C++17 STL cookbook》英文版的中文翻译。
Deep-learning-math-kernel-research
how-to-optimize-gemm
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
mshadow
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
mxProfileParser
A simple tool for parsing the profile.json file of mxnet
oneDNN
oneAPI Deep Neural Network Library (oneDNN)
rongzha1's Repositories
rongzha1/CPP-17-STL-cookbook
作为对《C++17 STL cookbook》英文版的中文翻译。
rongzha1/Deep-learning-math-kernel-research
rongzha1/how-to-optimize-gemm
rongzha1/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
rongzha1/incubator-tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
rongzha1/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
rongzha1/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
rongzha1/mshadow
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
rongzha1/mxProfileParser
A simple tool for parsing the profile.json file of mxnet
rongzha1/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
rongzha1/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rongzha1/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
rongzha1/tp_how-to-optimize-gemm
row-major matmul optimization