xu shuhong's repositories
deep-learning
personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
faster_rcnn_pytorch
Faster RCNN with PyTorch
go-ipfs
IPFS implementation in Go
MIT-6.824
Basic Sources for MIT 6.824 Distributed Systems Class
MyCode
Everything starts here.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch-Tutorial
Build your neural network easy and fast
workflow
Parallel Computing and Asynchronous Networking Engine ⭐️⭐️⭐️