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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Created
2017-05-31
246 commits to master branch, last one 4 days ago
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
Created
2020-03-23
161 commits to main branch, last one 10 days ago
Public facing deeplift repo
Created
2016-06-01
553 commits to master branch, last one 3 years ago
A curated list of trustworthy deep learning papers. Daily updating...
privacy
backdoor
fairness
green-ai
security
causality
ownership
poisoning
robustness
uncertainty
ai-alignment
watermarking
deep-learning
hallucinations
gradient-leakage
machine-unlearning
interpretable-deep-learning
membership-inference-attack
adversarial-machine-learning
out-of-distribution-generalization
Created
2020-07-19
646 commits to master branch, last one a day ago
[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
reid
re-id
person-reid
person-search
correspondence
generalization
image-matching
metric-learning
temporal-models
generalizability
interpretability
person-retrieval
re-identification
person-recognition
adaptive-convolution
deep-metric-learning
domain-generalization
person-reidentification
person-re-identification
interpretable-deep-learning
Created
2019-07-08
53 commits to master branch, last one about a year ago
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Created
2020-05-01
92 commits to master branch, last one 2 years ago
A repository for explaining feature attributions and feature interactions in deep neural networks.
Created
2020-02-10
84 commits to master branch, last one 2 years ago
PyTorch Explain: Interpretable Deep Learning in Python.
Created
2021-04-10
139 commits to master branch, last one about a year ago
Protein-compound affinity prediction through unified RNN-CNN
Created
2018-05-22
76 commits to master branch, last one 5 months ago
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Created
2019-02-12
89 commits to master branch, last one 3 years ago
Tools for training explainable models using attribution priors.
Created
2019-06-24
72 commits to master branch, last one 3 years ago
Pytorch implementation of various neural network interpretability methods
lrp
gradcam
pytorch
deeplift
deconvnet
deepdream
smoothgrad
saliency-map
interpretable
cnn-visualization
nn-interpretability
integrated-gradients
taylor-decomposition
occlusion-sensitivity
gradient-visualization
guided-backpropagation
activation-maximization
interpretability-methods
interpretable-deep-learning
uncertainty-interpretability
Created
2020-10-12
17 commits to main branch, last one 2 years ago
All about explainable AI, algorithmic fairness and more
Created
2019-05-26
84 commits to master branch, last one about a year ago
[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching
Created
2021-08-04
17 commits to master branch, last one 3 years ago
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Created
2020-12-02
12 commits to main branch, last one 2 years ago
Implementation of the paper "Shapley Explanation Networks"
Created
2021-01-15
7 commits to main branch, last one 3 years ago
Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
Created
2021-06-04
21 commits to main branch, last one 2 years ago
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Created
2023-03-24
15 commits to main branch, last one 10 months ago
Multislice PHATE for tensor embeddings
Created
2019-06-21
91 commits to master branch, last one 3 years ago
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
Created
2020-09-25
149 commits to master branch, last one 3 years ago
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
Created
2022-03-30
56 commits to master branch, last one 11 months ago
Time series explainability via self-supervised model behavior consistency
Created
2023-02-14
70 commits to main branch, last one about a year ago
This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictio...
Created
2021-05-06
6 commits to main branch, last one 3 years ago
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
Created
2022-01-31
69 commits to main branch, last one 2 years ago