aaasss0636's repositories
AM-GCN
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AnatomySketch-Software
A medical image segmentation software supporting user interventions and user-defined funtion extention
BioExp
Explainability of Deep Learning Models
BonetumorNet
A Multitask Deep Learning Model for Simultaneous Detection, Segmentation and Classification of Bone Tumors on Radiographs
context-encoding-chest-xrays
Research Project, Honours Programme @ UvA, 2018
ddsm-visual-primitives
Using deep learning to discover interpretable representations for mammogram classification and explanation
explanatoryGraph
Interpreting CNN Knowledge via an Explanatory Graph
FAE
FeAture Explorer
FastFCN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
interpretable-ml-book
Book about interpretable machine learning
learninggo
Learning Go Book in mmark
LUNA16_Challange
Lung nodule classification / False positives reduction track codes
MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
nafld-1d-cnn
1D-CNN models for NAFLD diagnosis and liver fat fraction quantification using radiofrequency ultrasound signals
PaperScripts
Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.
pyrsa
Python library for Representational Similarity Analysis
pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
RTPB
Code for our paper `Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation`
semantic-explainable-AI
The codes and dataset for the semantic explainable AI (S-XAI)
shapley-attribution-model-zhao-naive
A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
shapleyValues
This is a simple python script that calculates Shapley Values and their average.
spatio-temporal-brain
A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data
TensorFlow_Engineering_Implementation
The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>
VC-R-CNN
[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''