Yongsong.H's repositories
attend-and-rectify
Pytorch code for the ECCV paper "Attend and rectify"
attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
AUDASC
Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
CNN_Visualization
Implementation of visualization techniques for CNN in Caffe (t-sne, DeconvNet, Image occlusions)
ELM-pytorch
Extreme Learning Machine implemented in Pytorch
ELM-tensorflow
Extreme Learning Machine with TensorFlow
ESPCN-TensorFlow
An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow
image-captioning
Image captioning models "show and tell" + "show, attend and tell" in PyTorch
intentions
Do deep reinforcement learning agents model intentions?
Mask-RCNN
A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
MRCNN-for-Scene-Classification
Pytorch implementation of MRCNN for SceneClassification( Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs)
mx-maskrcnn
An MXNet implementation of Mask R-CNN
places365
The Places365-CNNs for Scene Classification
PyTorch-SRGAN
A modern PyTorch implementation of SRGAN
resnet-1k-layers
Deep Residual Networks with 1K Layers
scene-baseline
PyTorch baseline for AI challenger Scene classification
SceneClassification
This project is to use deep learning to auto classify the scene images with limited amount of training images.
SceneClassify
AI场景分类竞赛
Single-Image-Super-Resolution-SISR
A list of resources for example-based single image super-resolution
Speech_Emotion_Recognition_DNN-ELM
Implementation of Speech Emotion Recognition using DNN-ELM
SRGAN_Wasserstein
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
subpixel
subpixel: A subpixel convnet for super resolution with Tensorflow
Super_Resolution_with_CNNs_and_GANs
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
TensorFlow-ESPCN
Super resolution with Tensorflow
video-super-resolution
Video super resolution implemented in Pytorch
WassersteinGAN-1
Tensorflow Wasserstein GAN implementation with TFRecord data format. WGAN, WGAN-GP (gradient penalty), DCGAN and showing example usage with CelebA dataset.
Xception-PyTorch
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions