AAAEEEE's repositories
dlbook_notation
LaTeX files for the Deep Learning book notation
smop
Small Matlab to Python compiler
pytorch-explain-black-box
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
reproduce-chexnet
Reproduce CheXNet
graphsage-simple
Simple reference implementation of GraphSAGE.
prototypical-networks
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Grad-CAM-in-TensorFlow
Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
explanatoryGraph
Interpreting CNN Knowledge via an Explanatory Graph
Grad-CAM-tensorflow
tensorflow implementation of Grad-CAM (CNN visualization)
cnn-fixations
Visualising predictions of deep neural networks
Gabor-Convolutional-Networks
@article{GaborCNNs, title={Gabor Convolutional Networks}, author={Luan, Shangzhen and chen, chen and Zhang, Baochang* and han, jungong and Liu, Jianzhuang}, year={2018}, IEEE Trans. Image processing. }
zsd_dataset
Zero Shot Detection Dataset
MatlabFunc
Matlab codes for feature learning
Convolutional-Prototype-Learning
An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"
CUB200-2011
The collection of 80*80-pixels bird-images from cub200-2011 dataset.
mgcnn
Multi-Graph Convolutional Neural Networks
deeplearning-resources
A set of notebooks and other resources regarding my deep learning experiments
mdnet-cvpr2017
Torch implementation for MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
fontawesome-latex
LaTeX mappings for Font Awesome, the icons font
graph-work
Graph Convolutional Networks (GCNs)
PrototypeDL
Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AAAI 2018)
LocationReportEnabler
A simple android app to enable Google Location Report, Google Now and related functions in China mainland or somewhere like.
deep-residual-networks
Deep Residual Learning for Image Recognition
Gabor_Phase_Project
Implementation for the paper "Nouyed, Iqbal, et al. "A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition." International Journal of Machine Learning and Cybernetics 7.6 (2016): 1115-1130."
compas-analysis
Data and analysis for 'Machine Bias'
DukeMTMCreIDEvaluation
Evaluation codes for DukeMTMC-reID Dataset