LU's repositories
AET
Auto-Encoding Transformations (AETv1), CVPR 2019
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Beta-Mish
β-Mish: An uni-parametric adaptive activation function derived from Mish.
class-balanced-loss
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Face_Pytorch
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
gconv-prune
Code repository for paper "Efficient Structured Pruning and Architecture Searching for Group Convolution" https://arxiv.org/abs/1811.09341
GraphEnas
Graph convolution based neural architecture search with weight sharing. The search attempts to extract usefull features from the graph and modify it using an actor-critic model. Unfortunately, this does not work in the real world (or at least, I have yet to succeed in making this work)
iccv2019-inc
ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
learning_filter_basis
Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression"
lookahead.pytorch
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
Mixed-Depthwise-Convolutional-Kernels
Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch
MixNet-PyTorch
A PyTorch implementation of MixNet: Mixed Depthwise Convolutional Kernels
MSDNet-PyTorch
MSDNet
multi-sample_dropout_pytorch
a simple pytorch implement of Multi-Sample Dropout
nsga-net
NSGA-Net, a Neural Architecture Search Algorithm
Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
person-reid
A mixed precision approach for person-reid
ProxylessNAS-Pytorch
ProxylessNAS-Pytorch
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)
pytorch-prunes
Code for https://arxiv.org/abs/1810.04622
pytorch_simple_classification_baselines
Simple pytorch classification baselines for MNIST, CIFAR and ImageNet
pytorch_simple_DARTS
A simple pytorch implementation of Differentiable Architecture Search (DARTS)
slimmable_networks
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
spottune
SpotTune: Transfer Learning through Adaptive Fine-tuning
superpixPool
Superpixel Pooling implemented in PyTorch and Chainer
YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）