Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
We realized an integrated classification project from training from scratch to predict utilizing classical networks with tensorflow, including VGG16, ResNet series. With this repository, you can train your own data and realize prediction.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
