interpretable-deep-learning topic

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

jacobgil

A curated list of awesome responsible machine learning resources.

jphall663

Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)

ryanchankh

Public facing deeplift repo

kundajelab

Tensorflow tutorial for various Deep Neural Network visualization techniques

1202kbs

Pytorch Implementation of recent visual attribution methods for model interpretability

yulongwang12

💡 Adversarial attacks on explanations and how to defend them

hbaniecki

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

hate-alert

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

ShengcaiLiao

Protein-compound affinity prediction through unified RNN-CNN

Shen-Lab