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kaiqiao1992's Projects

alista icon alista

This repository is the implementation for ICLR 2019 paper "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA" by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

augmentor icon augmentor

Image augmentation library in Python for machine learning.

biggan-pytorch icon biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

caffe icon caffe

Caffe: a fast open framework for deep learning.

capsnet-tensorflow icon capsnet-tensorflow

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

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cogdl icon cogdl

CogDL: An Extensive Research Toolkit for Graphs

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code icon dcgan_code

Deep Convolutional Generative Adversarial Networks

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (oral presentation).

dface icon dface

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

di-2-fgsm icon di-2-fgsm

Improving Transferability of Adversarial Examples with Input Diversity

dists icon dists

IQA: Deep Image Structure and Texture Similarity Metric

edvr icon edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

eeg-classification icon eeg-classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

etecrm icon etecrm

end-to-end convolution regression model (ETECRM)

fc-densenet icon fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fine-tuning icon fine-tuning

Fine-tuning an already learned model, adapts the architecture to other datasets

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