Lei Li's starred repositories
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.
demoForHssBlog
demo's source code for my blog: http://blog.csdn.net/housisong
duty-machine
一个备份网络文章的服务。声援陈玫、蔡伟及其女友小唐,请关注端点星事件。
SYNLA-Dataset
Synthetic Line Art Dataset
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Deformable-ConvNets
Deformable Convolutional Networks
tensorflow
An Open Source Machine Learning Framework for Everyone
Optical-Flow-Warping-Tensorflow
Implementation of warping with optical flow in tensorflow
tensorflow
An Open Source Machine Learning Framework for Everyone