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Dongxian's Projects

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

deblurgan icon deblurgan

Image Deblurring using Generative Arversarial Networks

dec-keras icon dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

deepiqa icon deepiqa

NR and FR IQA models based on Deep Convolutional Neural Networks

deepsleepnet icon deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

densenet-pytorch icon densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

derain-net icon derain-net

A (WIP) re-implementation of Fu, Huang, Ding, and Paisley's method for single-image rain removal (https://arxiv.org/pdf/1609.02087v2.pdf)

dncnn icon dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dncnn-tensorflow icon dncnn-tensorflow

a tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

fairseq-py icon fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fitting-random-labels icon fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

ganotebooks icon ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

gatedpixelcnnpytorch icon gatedpixelcnnpytorch

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

glcic icon glcic

Globally and Locally Consistent Image Completion with TensorFlow

guidedfilter icon guidedfilter

Simple python demos of Guided Image Filtering (Python).

id-cgan icon id-cgan

Image De-raining Using a Conditional Generative Adversarial Network

mtcnn-pytorch icon mtcnn-pytorch

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

noisy_labels icon noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

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