interpretability-and-explainability
There are 19 repositories under interpretability-and-explainability topic.
ruizheliUOA/Awesome-Interpretability-in-Large-Language-Models
This repository collects all relevant resources about interpretability in LLMs
HennyJie/IBGNN
MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Wuyxin/DISC
Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
liugangcode/GREA
[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
WanyuGroup/CVPR2022-OrphicX
Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks."
cwangrun/ST-ProtoPNet
[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification
vdlad/Remarkable-Robustness-of-LLMs
Codebase the paper "The Remarkable Robustness of LLMs: Stages of Inference?"
interpretable-ml-class/interpretable-ml-class.github.io
Explainable AI: From Simple Rules to Complex Generative Models
warisgill/TraceFL
TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients responsible for global model predictions, achieving 99% accuracy across diverse datasets (e.g., medical imaging) and neural networks (e.g., GPT).
Imenbaa/BA-LR
Explainable Speaker Recognition
VictorNico/NNs_from_scratch
Build a Neural net from scratch without keras or pytorch just by using numpy for calculus, pandas for data loading.
DimitrisReppas/On_visual_explanation_of_supervised_and_self-supervised_learning
Visualization methods to interpret CNNs and Vision Transformers, trained in a supervised or self-supervised way. The methods are based on CAM or on the attention mechanism of Transformers. The results are evaluated qualitatively and quantitatively.
Skyyyy0920/SSCBM
Semi-supervised Concept Bottleneck Models (SSCBM)
bishwamittra/nus_thesis
My PhD thesis in NUS. Making it public so that future graduate students may benefit.
fguzman82/PhD-Thesis
Interpretability: Methods for Identification and Retrieval of Concepts in CNN Networks
goz1985/RST-ARM-GLM_-Research
Work on combining Logit model with an information granulation method for better interpretability
MattScicluna/interpretable_tsne
Implementation of the gradient-based t-SNE sttribution method described in our GLBIO oral presentation: 'Towards Computing Attributions for Dimensionality Reduction Techniques'
swardiantara/DroneLog
Interpretable Anomaly Severity Detection on UAV Flight Log Messages