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GitHub topics: interpretable-deep-learning

PKUAI26/AT-CNN

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

Language: Python - Size: 7.44 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 62 - Forks: 9

manuelbre/Reliable-and-Interpretable-AI-Cheatsheet-HS18

Cheatsheet for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018

Language: TeX - Size: 646 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 2

chunribu/miidl

A Python package for biomarkers identification powered by interpretable deep learning

Language: Python - Size: 444 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Js-Mim/rl_singing_voice

Unsupervised Representation Learning for Singing Voice Separation

Language: Python - Size: 21.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 4

manuelbre/Reliable-and-Interpretable-AI-HS18

Assignments and projects for the ETH Zurich Reliable and Interpretable Artificial Intelligence class autumn 2018

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

shinkyo0513/Spatio-Temporal-Perturbations-for-Video-Attribution

The source code for the journal paper: Spatio-Temporal Perturbations for Video Attribution, TCSVT-2021

Language: Python - Size: 36.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

pnxenopoulos/cav-keras

Concept activation vectors for Keras

Language: Python - Size: 23 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 6

safooray/EmotionClassificationCNN

Facial emotion classification and modification using CNNs.

Language: Python - Size: 3.59 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

Binjie-Qin/msRPCA-PBNet

Working Memory Inspired Hierarchical Video Decomposition with Transformative Representations

Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

AIMedLab/DII-Challenge Fork of yinchangchang/DII-Challenge

One of the top solutions for The 2019 DII National Data Science Challenge: https://sbmi.uth.edu/dii-challenge/. More details in the paper "An interpretable deep-learning model for early prediction of sepsis in the emergency department", published on Patterns 2021.

Size: 635 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

ajsanjoaquin/mPerturb

Implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation (Fong, et. al., 2018)

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

jnikhilreddy/Explainable-AI-papers-Year-wise

List of papers in the area of Explainable Artificial Intelligence Year wise

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AFAgarap/dnn-trust

How can I trust you? An intuition and tutorial on trust score

Language: Jupyter Notebook - Size: 41 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

gudovskiy/e2x

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

Language: C++ - Size: 110 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

shubhe25p/path_explain_diabetes_torch

Pytorch example of path-explain using Pytorch

Language: Jupyter Notebook - Size: 768 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

milsto/interpretability

Interpretability of deep representation learning models

Language: Jupyter Notebook - Size: 7.65 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

AIMedLab/DGViz

Code and Datasets for the paper "DG-Viz: Deep Visual Analytics with Domain Knowledge Guided Recurrent Neural Networks on Electronic Health Records", published on Journal of Medical Internet Research (JMIR) in 2020.

Language: Python - Size: 28.3 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

AIMedLab/DG-RNN

Code and Datasets for the paper "Domain Knowledge Guided Deep Learning with Electronic Health Records", published on ICDM 2019.

Language: Python - Size: 20.5 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

jaygshah/Interpretable-AI

Personal collection of resources to get started on Interpretability in AI (... still being updated ...)

Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

seilna/CNN-Units-in-NLP

:scissors: Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs

Language: Python - Size: 3.43 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 26 - Forks: 1

ZeonTrevor/MasterThesis

Master Thesis on reproducibility and interpretability of neural ranking models

Language: TeX - Size: 12.7 MB - Last synced at: 7 days ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Keywords
interpretable-deep-learning 121 deep-learning 41 explainable-ai 39 interpretability 31 interpretable-machine-learning 27 machine-learning 19 explainable-ml 16 xai 16 pytorch 16 explainable-artificial-intelligence 13 explainability 13 interpretable-ai 13 computer-vision 11 artificial-intelligence 8 python 7 deep-neural-networks 6 tensorflow 5 neural-networks 5 convolutional-neural-networks 5 neural-network 5 cnn 5 saliency-map 4 electronic-health-record 4 gradcam 4 image-classification 4 deep-metric-learning 4 interpretable-ml 4 grad-cam 3 gradcam-plus-plus 3 visualization 3 mechanistic-interpretability 3 representation-learning 3 attention-mechanism 3 transformers 3 prototypical-learning 3 interpretable-neural-networks 3 awesome-list 3 classification 3 pytorch-implementation 3 fairness 3 interpretable-models 3 explainable-deepneuralnetwork 3 awesome 2 disease-classification 2 person-search 2 person-retrieval 2 transfer-learning 2 data-visualization 2 unsupervised-learning 2 person-reidentification 2 counterfactual-explanations 2 knowledge-graph 2 deeplearning 2 person-reid 2 person-recognition 2 heart-failure 2 video-understanding 2 explanability 2 fairness-ml 2 sepsis 2 time-series 2 concepts 2 caffe 2 cnn-visualization 2 nlp 2 attribution-methods 2 action-recognition 2 contrastive-explanations 2 lrp 2 reid 2 re-identification 2 re-id 2 llm 2 adversarial-machine-learning 2 video-classification 2 robustness 2 transparency 2 prototypes 2 part-prototypes 2 deeplift 2 guided-backpropagation 2 integrated-gradients 2 sensitivity-analysis 2 large-language-models 2 class-activation-map 2 score-cam 2 smoothgrad 2 metric-learning 2 person-re-identification 2 image-matching 2 generalization 2 generalizability 2 fine-grained-classification 2 object-detection 2 correspondence 2 interpretability-and-explainability 2 vision-transformers 2 domain-generalization 2 differentiable-programming 1 medicine 1