KaiQiao1992's repositories
vae
a simple vae and cvae from keras
recurrent-visual-attention
A PyTorch Implementation of "Recurrent Models of Visual Attention"
MTCNN
Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
pytorch-i-revnet
i-RevNet Pytorch Code
Text-to-Image-Synthesis
Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
Segm_Net_3D
This library is an implementation of a 3-D U-net using dice loss and batch normalization, implemented in TensorFlow.
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
pytorch-cnn-adversarial-attacks
Pytorch implementation of convolutional neural network adversarial attack techniques
tensorflow-fcn
An Implementation of Fully Convolutional Networks in Tensorflow.
unet
unet for image segmentation
wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
YOLO_Object_Detection
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
deep-residual-networks
Deep Residual Learning for Image Recognition
Focal-Loss-implement-on-Tensorflow
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He.
the-gan-zoo
A list of all named GANs!
pytorch-ssim
pytorch structural similarity (SSIM) loss
tensorflow
Computation using data flow graphs for scalable machine learning
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.
ganhacks
starter from "How to Train a GAN?" at NIPS2016
noscope
Accelerating network inference over video
GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
2017_CRCNS_Summer_School
Repo for reviewing 2017 Berkeley summer course in mining and modeling of neuroscience data.
tensorflow-vgg
VGG19 and VGG16 on Tensorflow