Luo's repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
RMNet
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
robustness
Corruption and Perturbation Robustness (ICLR 2019)
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
darts
Differentiable architecture search for convolutional and recurrent networks
HRankPlus
An extension version of our CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map
DIANet
The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".
CondConv-pytorch
Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
caffe
Caffe for Sparse and Low-rank Deep Neural Networks