AAAEEEE's repositories
lung-cancer-detection
End-to-end ML project using the PyTorch ecosystem
CS583-2021S
CS 583: Deep Learning
Transformer-MM-Explainability
Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
detr
End-to-End Object Detection with Transformers
CIT
The repository offers the official implementation of our paper in PyTorch.
MGN-Net
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
unlock-music
Unlock encrypted music file in browser. 在浏览器中解锁加密的音乐文件。
shap
A game theoretic approach to explain the output of any machine learning model.
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
ANTs
Advanced Normalization Tools (ANTs)
MJP
Maximum Joint Probability with Multiple Representations for Clustering
XAI
Papers and code of Explainable AI esp. w.r.t. Image classificiation
ConceptBottleneck
Concept Bottleneck Models, ICML 2020
ICAM
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
CheXplain-Dissection
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
boundary
Implementation of Boundary Attributions for Normal (Vector) Explanations
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
covid-19-detection
The implementation of "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT"
swin-transformer-pytorch
Implementation of the Swin Transformer in PyTorch.
gansformer
Generative Adversarial Transformers
Swin-Transformer
a general-purpose Transformer based vision backbone
auto-report
哈小深每日自动上报
AdaGAE
Implementation of "Adaptive Graph Auto-Encoder for General Data Clustering"
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
attributionpriors
Tools for training explainable models using attribution priors.
motioneyeos
A Video Surveillance OS For Single-board Computers