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code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

convgrucell-pytorch

Convolution GRU cell in PyTorch

convlstm

convlstm_experiments

Experiment code of ConvLSTM on Moving MNIST

cpp-0-1-resource

C++ 匠心之作 从0到1入门资料

deeplearning-models

A collection of various deep learning architectures, models, and tips

fcn-pytorch

Another pytorch implementation of FCN (Fully Convolutional Networks)

git-flight-rules

Flight rules for git

hko-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

precipitation-nowcasting

pytorch implemention of trajGRU.

pred-rnn

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

python

All Algorithms implemented in Python

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)

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

smaat-unet

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNetArchitecture"

tcn

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

unet

Using PyTorch implementing UNet based on https://arxiv.org/abs/1505.04597

unet_v1