regnet topic
mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
SimpleAICV_pytorch_training_examples
SimpleAICV:pytorch training and testing examples.
regnet
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
PyTorch-Image-Models-Multi-Label-Classification
Multi-label classification based on timm.
regnet.pytorch
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
pretrained-backbones-unet
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
PyTorch_DeepLab
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.