Lorna's repositories
SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
CycleGAN-PyTorch
A very simple implementation of cyclegan, which is based on pytorch.
ESRGAN-PyTorch
A simple implementation of esrgan, which uses the pytorch framework.
AlexNet-PyTorch
An PyTorch implementation AlexNet.Simple, easy to use and efficient
YOLOv3-PyTorch
Pytorch implements yolov3.Good performance, easy to use, fast speed.
Real_ESRGAN-PyTorch
PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.
ResNet-PyTorch
PyTorch implements `Deep Residual Learning for Image Recognition` paper.
SwinIR-PyTorch
PyTorch implements `SwinIR: Image Restoration Using Swin Transformer` paper.
DenseNet-PyTorch
Restore the official code 100% and improve it to make it easier to research and facilitate production.
DRRN-PyTorch
PyTorch implements "Image Super-Resolution via Deep Recursive Residual Network"
ShuffleNetV2-PyTorch
PyTorch implements `ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design` paper.
StarGAN-PyTorch
PyTorch implements `StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation` paper.
ConvNet-PyTorch
PyTorch implements `A ConvNet for the 2020s` paper.
EfficientNetV2-PyTorch
PyTorch implements `EfficientNetV2: Smaller Models and Faster Training` paper.
MobileNetV3-PyTorch
PyTorch implements `Searching for MobileNetV3` paper.
reality-sr
Real world super resolution library
RepVGG-PyTorch
PyTorch implements `RepVGG: Making VGG-style ConvNets Great Again` paper.
ResNetXt-PyTorch
PyTorch implements `Aggregated Residual Transformations for Deep Neural Networks` paper.
SAGAN-PyTorch
PyTorch unoffical implemnts `Self-Attention Generative Adversarial Networks` paper.
ShuffleNetV1-PyTorch
PyTorch implements `ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices` paper.
StarGANv2-PyTorch
PyTorch implements `StarGAN v2: Diverse Image Synthesis for Multiple Domains` paper.
Wide_ResNet-PyTorch
PyTorch implements `Wide Residual Networks` paper.
EfficientNetV1-PyTorch
PyTorch implements `EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks` paper.
MobileNetV2-PyTorch
PyTorch implements `MobileNetV2: Inverted Residuals and Linear Bottlenecks` paper.
QtProjectCollection
Collect projects and code related to QT development to facilitate subsequent rapid development.
QtStartQuicklyTutorial
Quick start tutorial under QT Framework based on C++
SqueezeNet-PyTorch
PyTorch implements `SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size` paper.
YOLOv5-PyTorch
Engineering version of YOLOv5