Yongsong.H's repositories
ARNet
CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
attn-gan
Pytorch implementation of paper: AttnGAN Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
chinese_im2text.pytorch
PyTorch implementation of Chinese image captioning on AI_challenger dataset
curve-gcn
Official PyTorch code for Curve-GCN (CVPR 2019)
datamining
learn in datamining
ELM-Pytorch-1
Pytorch implementation of Extreme Learning Machine
espcn-1
espcn的简单实现,提供两种类型的神经网络.感觉中和下两种网络的特性可以达到更好的效果.
ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
GHA-ImageCaptioning
Code for GHA (ACCV2018)
Image-Caption-Pytorch
This is an implementation of image caption, based on two different papers. The two papers are: 1. Show and Tell: A Neural Image Caption Generator 2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Image_Caption_Generation
A reimplementation of Show and Tell
LeakGAN
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
MHCLN
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Python-ELM
Extreme Learning Machine implementation in Python
RACNN-pytorch
This is a third party implementation of RA-CNN in pytorch.
RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
RetinexNet_PyTorch
a pytorch reimplement of RetinexNet
semstyle
Code for learning to generate stylized image captions from unaligned text
sg2im
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
SKNet
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu：https://zhuanlan.zhihu.com/p/59690223
srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
SRGAN-W
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
SRMD
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018)
SubSpectralNet-PyTorch
PyTorch Implementation of SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification, accepted in ICASSP 2019
super-resolution
collection of super-resolution models & algorithms
TensorFlow-OS-ELM
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
vqa.pytorch
Visual Question Answering in Pytorch
weixin_crawler
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