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awesome-few-shot-learning

backdoorbench

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

condconv-pytorch

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

darts

Differentiable architecture search for convolutional and recurrent networks

dianet

The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hrankplus

An extension version of our CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map

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)

repvgg

RepVGG: Making VGG-style ConvNets Great Again

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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.

robustness

Corruption and Perturbation Robustness (ICLR 2019)

shufflenet-series

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.