GitHub topics: interpretable-deep-learning
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Language: Python - Size: 134 MB - Last synced at: about 2 hours ago - Pushed at: 16 days ago - Stars: 11,526 - Forks: 1,625
DrejcPesjak/scaling-monosemanticity-llama
Reproducing Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet using LLaMA. This project explores monosemantic neurons in large language models, implementing and extending methods to scale and analyze interpretability in LLaMA-based architectures.
Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 4 hours ago - Pushed at: about 5 hours ago - Stars: 4 - Forks: 0
Trustworthy-ML-Lab/posthoc-generative-cbm
[CVPR 2025] Concept Bottleneck Autoencoder (CB-AE) -- efficiently transform any pretrained (black-box) image generative model into an interpretable generative concept bottleneck model (CBM) with minimal concept supervision, while preserving image quality
Language: Jupyter Notebook - Size: 3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 5 - Forks: 0
1pha/brain-age-prediction
Brain age prediction and networks explainability on their decision
Language: Jupyter Notebook - Size: 828 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 0
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
Size: 7.55 MB - Last synced at: 7 days ago - Pushed at: 13 days ago - Stars: 364 - Forks: 35
epfml/interpret-lm-knowledge
Extracting knowledge graphs from language models as a diagnostic benchmark of model performance (NeurIPS XAI 2021).
Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: 4 days ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 4
frgfm/torch-cam
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)
Language: Python - Size: 10.4 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 2,158 - Forks: 217
pietrobarbiero/pytorch_explain
PyTorch Explain: Interpretable Deep Learning in Python.
Language: Jupyter Notebook - Size: 42.1 MB - Last synced at: 16 days ago - Pushed at: 11 months ago - Stars: 154 - Forks: 14
wl-zhao/DIML
[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching
Language: Python - Size: 1.52 MB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 98 - Forks: 12
cwangrun/CIPL
[TMI 2025] Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Language: Python - Size: 1020 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
suinleelab/path_explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
Language: Jupyter Notebook - Size: 204 MB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 187 - Forks: 29
suinleelab/attributionpriors
Tools for training explainable models using attribution priors.
Language: Jupyter Notebook - Size: 95.4 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 123 - Forks: 8
mmmmayi/ExPO
official implementation of paper ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification
Language: Python - Size: 113 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0
david-gimeno/interpreting-ssl-parkinson-speech
Official source code of the paper: "Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson’s Diagnosis"
Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 1
kundajelab/deeplift
Public facing deeplift repo
Language: Python - Size: 10.7 MB - Last synced at: 3 days ago - Pushed at: almost 3 years ago - Stars: 852 - Forks: 168
si-cim/cbc-aaai-2025
Deep CBC Models for Prototype Based Interpretability Benchmarks
Language: Python - Size: 1.65 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Henrymachiyu/ProtoViT
This code implements ProtoViT, a novel approach that combines Vision Transformers with prototype-based learning to create interpretable image classification models. Our implementation provides both high accuracy and explainability through learned prototypes.
Language: Python - Size: 1010 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 6
sentspace/sentspace Fork of aalok-sathe/sentspace
a module to obtain diverse real-world-grounded features for sentences for large-scale benchmarking
Language: Python - Size: 835 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1
iurada/px-ntk-pruning
Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 2024
Language: Python - Size: 699 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 21 - Forks: 4
ilyalasy/moe-routing
Analysis of token routing for different implementations of Mixture of Experts
Language: Jupyter Notebook - Size: 882 KB - Last synced at: 18 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0
ieddeveci/featureVisualization_activationMaximization
Feature Visualization of Deep Neural Networks, Term Project, MMI727 Deep Learning: Methods and Applications course, METU.
Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
williamcaicedo/ISeeU
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 7
Shen-Lab/DeepAffinity
Protein-compound affinity prediction through unified RNN-CNN
Language: Python - Size: 307 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 138 - Forks: 30
alhqlearn/ReactAIvate
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots
Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1
EloiZ/awesome-contrastive-explanation
A curated list of awesome contrastive explanation in ML resources
Size: 18.6 KB - Last synced at: 9 days ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0
matlab-deep-learning/Explore-Deep-Network-Explainability-Using-an-App
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 predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.
Language: MATLAB - Size: 26.3 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 36 - Forks: 7
nadeemlab/CIR
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
Language: Python - Size: 2.06 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 6
cwangrun/ST-ProtoPNet
[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification
Language: Python - Size: 841 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 20 - Forks: 2
1202kbs/Understanding-NN
Tensorflow tutorial for various Deep Neural Network visualization techniques
Language: Jupyter Notebook - Size: 6.63 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 344 - Forks: 89
heartcored98/transformer_anatomy
Official Pytorch implementation of (Roles and Utilization of Attention Heads in Transformer-based Neural Language Models), ACL 2020
Language: Python - Size: 30.8 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 4
kundajelab/fastISM
In-silico Saturation Mutagenesis implementation with 10x or more speedup for certain architectures.
Language: Jupyter Notebook - Size: 5.94 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 3
M-Nauta/ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Language: Python - Size: 870 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 90 - Forks: 19
laura-rieger/deep-explanation-penalization
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
Language: Jupyter Notebook - Size: 248 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 127 - Forks: 14
wanyu-lin/ICML2021-Gem
Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 65 - Forks: 9
benjaminpatrickevans/XAI
Genetic programming method for explaining complex black-box models
Language: Python - Size: 73.2 KB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 19 - Forks: 3
vnlinh112/EASE-SER
Explainable audio speech embeddings enhance emotion detection for low-resource setting
Language: Python - Size: 82 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
innoisys/ArachNet
Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK
Language: Python - Size: 804 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0
jerry2137/RISE-CAM
Explainable AI for Image Classification
Language: Jupyter Notebook - Size: 204 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
mateoespinosa/tabcbm
Official Implementation of TMLR's paper: "TabCBM: Concept-based Interpretable Neural Networks for Tabular Data"
Language: Python - Size: 11.8 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2
wjNam/Relative_Attributing_Propagation
Interpreting DNNs, Relative attributing propagation
Language: Python - Size: 3.55 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 75 - Forks: 9
machinelearningnuremberg/INN
Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.
Language: Python - Size: 60.5 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
scottgigante/m-phate
Multislice PHATE for tensor embeddings
Language: Python - Size: 135 MB - Last synced at: 8 days ago - Pushed at: about 4 years ago - Stars: 59 - Forks: 8
alirezaabdollahpour/CURE_fast_adversarial
An unofficial version of the PyTorch implementation of CURE and Fast Adversarial training with FGSM.
Language: Python - Size: 146 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
qisuqi/FocusLearn
Language: Python - Size: 33.2 KB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 104 - Forks: 19
andreysharapov/xaience
All about explainable AI, algorithmic fairness and more
Language: HTML - Size: 7.81 GB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 106 - Forks: 12
CLIAgroup/TesNet
ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)
Language: Python - Size: 854 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
JonathanCrabbe/Label-Free-XAI
This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.
Language: Python - Size: 8.19 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 9
ryanchankh/redunet_paper
Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
Language: Python - Size: 373 KB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 58 - Forks: 8
mims-harvard/TimeX
Time series explainability via self-supervised model behavior consistency
Language: Python - Size: 29 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 1
hate-alert/HateXplain
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Language: Python - Size: 6.57 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 173 - Forks: 62
priyamtejaswin/devise-keras
Interpretable Image Search by Priyam Tejaswin and Akshay Chawla
Language: Python - Size: 1.84 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 9
QData/AttentiveChrome
NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
Language: Lua - Size: 78.1 MB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 27 - Forks: 9
M-Nauta/PIPNet
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Language: Python - Size: 3.85 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 8
cwangrun/InterNRL
[TMI 2023] An Interpretable Deep Disease Diagnosis Framework
Language: Python - Size: 135 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Z80coder/db-nets
∂B nets: learning discrete, boolean-valued functions by gradient descent
Language: Mathematica - Size: 55.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 18 - Forks: 3
Jathurshan0330/Cross-Modal-Transformer
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
Language: Jupyter Notebook - Size: 152 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 3
aywi/mprotonet
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging
Language: Python - Size: 184 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
DDDoGGie/RIFF
Pseudo-label supervised graph neural network for robust, fine-grained, interpretable spatial domain identification.
Language: HTML - Size: 25.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
sauravmishra1710/Malaria-Detection-Using-Deep-Learning-Techniques
Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.
Language: Jupyter Notebook - Size: 295 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 5
hooman007/ProtoASNet
Official repository for the paper "ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography" in MICCAI 2023 Conference
Language: Python - Size: 71.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1
1Konny/gradcam_plus_plus-pytorch
A Simple pytorch implementation of GradCAM and GradCAM++
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 312 - Forks: 87
ShinKyuY/Representer_Point_Selection_for_Explaining_Deep_Neural_Networks
Tutorial on Representer Point Selection for Explaining Deep Neural Networks (CIFAR-10)
Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
yulongwang12/visual-attribution
Pytorch Implementation of recent visual attribution methods for model interpretability
Language: Jupyter Notebook - Size: 27.7 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 141 - Forks: 25
ShengcaiLiao/QAConv
[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
Language: Python - Size: 5.42 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 188 - Forks: 30
caterinaborzillo/master_thesis_sharedpwnet
Master's Thesis (Master's Degree in Artificial Intelligence and Robotics at Sapienza University of Rome) - 2023
Language: Python - Size: 233 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
MaveriQ/lmu_iml_recc
Interpretability of Netflix Recommender System using Neural Networks
Language: Jupyter Notebook - Size: 42.9 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
amirfeder/CausaLM
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Language: Python - Size: 2.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 46 - Forks: 12
sandareka/Interpretability-of-Machine-Learning-Visualizations
Interpretability of Machine Learning-Visualizations
Language: Python - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 9 - Forks: 2
sandareka/FLEX
FLEX : Faithful Linguistic Explanations for Neural Net Based Model Decisions
Language: Python - Size: 8.97 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
sandareka/BRACE
BRACE - BetteR Accuracy from Concept-based Explanation
Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
inouye-lab/ShapleyExplanationNetworks
Implementation of the paper "Shapley Explanation Networks"
Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 75 - Forks: 18
SousaPedroso/PIDL
Undergraduate thesis of Post-hoc Interpretable Deep Learning for birds sound
Language: Jupyter Notebook - Size: 5.38 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
sandareka/CCNN
Comprehensible Convolutional Neural Networks via Guided Concept Learning
Language: Python - Size: 2.76 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2
AIMedLab/ecg-diagnosis
Code and Datasets for the paper "Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram", published on iScience in 2021.
Language: Python - Size: 22.5 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1
nphdang/DeepCoDA
Deep learning for personalized interpretability for compositional health data
Language: Python - Size: 10.8 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 1
RU-Automated-Reasoning-Group/dPads
NeurIPS'21 Differentiable Program Synthesis
Language: Python - Size: 146 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2
PrashantSaikia/Dynamic-SHAP-Plots
Enabling interactive plotting of the visualizations from the SHAP project.
Language: Python - Size: 40 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 3
ducminhkhoi/InterpretableCNN
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 39 - Forks: 13
rakhimovv/tcav
Quantitative Testing with Concept Activation Vectors in PyTorch
Language: Python - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 33 - Forks: 14
scottjingtt/awesome-interpretable-transfer-learning
Paper and resources collections about interpretable AI (XAI)
Size: 9.77 KB - Last synced at: 4 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
ajsanjoaquin/Shapley_Valuation
PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]
Language: Python - Size: 34.2 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 3
prclibo/ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 6
ShengcaiLiao/TransMatcher
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Language: Python - Size: 5.28 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2
PierrickPochelu/word_tree_label
neural network to learn paths in decision tree
Language: Python - Size: 630 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
shinkyo0513/Towards-Visually-Explaining-Video-Understanding-Networks-With-Perturbation
Attribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.
Language: Python - Size: 166 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 0
AIMedLab/PAVE
Code and Datasets for the paper "An Interpretable Risk Prediction Model for Healthcare with Pattern Attention", published on BMC Medical Informatics and Decision Making.
Language: Python - Size: 25.4 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1
1Konny/class_selectivity_index
On the importance of single directions for generalization(Morcos et al, ICLR 2018)
Language: Shell - Size: 1.51 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 2
jialinwu17/self_critical_vqa
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
Language: Python - Size: 74.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 39 - Forks: 9
shinkyo0513/Surgical-Skill-Assessment-via-Video-Semantic-Aggregation
Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)
Language: Python - Size: 3.41 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
AIMedLab/TransICD
Code and Datasets for the paper "TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding", accepted by AIME 2021.
Language: Python - Size: 1.52 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1
kchu25/UnfoldCDL.jl
Deep Unfolded Convolutional Dictionary Learning for motif discovery.
Language: Julia - Size: 250 KB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1
cazhang/vit-reranking
Pytorch Implementation of bmvc 2022 paper "Beyong the CLS Token: Image Reranking using Pretrained Vision Transformers"
Language: Python - Size: 230 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
erfunmirzaei/Understanding-NN
Replicated “Understanding Individual Neuron Importance Using Information Theory” paper. Information Theory and Learning Course Project.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
olivesgatech/Explanatory-Paradigms
Code used in the paper `Explanatory Paradigms in Neural Networks', published in the Signal Processing Magazine
Language: Python - Size: 3.66 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
PKUAI26/AT-CNN
Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
Language: Python - Size: 7.44 MB - Last synced at: about 2 years ago - Pushed at: over 5 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: about 2 years ago - Pushed at: almost 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: 8 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: about 2 years ago - Pushed at: about 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: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1