DLyzhou's repositories
advertorch
A Toolbox for Adversarial Robustness Research
alibi
Algorithms for monitoring and explaining machine learning models
Amazing-Semantic-Segmentation
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CLIP
Contrastive Language-Image Pretraining
COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
COVID-Net
COVID-Net Open Source Initiative
DFNet
Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
FastPhotoStyle
Style transfer, deep learning, feature transform
Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;欢迎试用、关注并反馈问题...
keras-vis
Neural network visualization toolkit for keras
mmdetection
Res2Net achieves SOTA on mmdetection.
MZSR
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
natural-adv-examples
A Harder ImageNet Test Set
openTSNE
Extensible, parallel implementations of t-SNE
pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Retinal-Vessel-Tortuosity-Analysis
This script is for quantification of retinal vessel tortuosity in fundus/OPTOS images. Several measures of tortuosity is calculated and saved in an excel file.
saliency
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
SEPC
Scale-equalizing Pyramid Convolution for object detection
stylegan-encoder
StyleGAN Encoder - converts real images to latent space
UNet-family
Paper and implementation of UNet-related model.
wsolevaluation
Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)