Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: interpretable
sinhvt3421/scann--material
Framework for material structure exploration
Language: Jupyter Notebook - Size: 9.51 MB - Last synced: 18 days ago - Pushed: 6 months ago - Stars: 3 - Forks: 0
cair/pyTsetlinMachine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
Language: C - Size: 600 KB - Last synced: 30 days ago - Pushed: 3 months ago - Stars: 122 - Forks: 24
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
Size: 2.5 MB - Last synced: 23 days ago - Pushed: 3 months ago - Stars: 281 - Forks: 41
damoncrockett/wintour
Visual explanations of supervised classification models
Language: JavaScript - Size: 22.4 MB - Last synced: about 1 month ago - Pushed: 8 months ago - Stars: 2 - Forks: 0
hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
Language: Jupyter Notebook - Size: 30.5 MB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 104 - Forks: 19
ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
Language: R - Size: 36.2 MB - Last synced: about 1 month ago - Pushed: 9 months ago - Stars: 319 - Forks: 32
MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Language: Jupyter Notebook - Size: 8.99 MB - Last synced: about 1 month ago - Pushed: 5 months ago - Stars: 71 - Forks: 14
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Language: Jupyter Notebook - Size: 34.7 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 660 - Forks: 230
MI2DataLab/xlungs-trustworthy-los-prediction
Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)
Language: R - Size: 2.33 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 7 - Forks: 1
otroshi/linkability-btp
Maximal Linkability metric to evaluate the linkability of (protected) biometric templates. Paper: "Measuring Linkability of Protected Biometric Templates using Maximal Leakage", IEEE-TIFS, 2023.
Language: Python - Size: 3.91 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0
pourmand1376/yolov5 Fork of ultralytics/yolov5
Interpretable YOLOv5
Language: Python - Size: 19.7 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 1 - Forks: 2
GemsLab/VoG_Graph_Summarization
Summarization of static graphs using the Minimum Description Length principle
Language: Python - Size: 3.01 MB - Last synced: about 1 year ago - Pushed: over 8 years ago - Stars: 25 - Forks: 17
alinajadebarnett/iaiabl
This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x
Language: Python - Size: 80.1 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 23 - Forks: 6
yl3800/IGV
This repo contains code for Invariant Grounding for Video Question Answering
Language: Python - Size: 706 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 19 - Forks: 2
rehmanzafar/xai-iml-sota
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Language: R - Size: 1.12 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 51 - Forks: 13
aonotas/interpretable-adv
Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
Language: Python - Size: 440 KB - Last synced: over 1 year ago - Pushed: over 4 years ago - Stars: 39 - Forks: 13
Samyu0304/Improving-Subgraph-Recognition-with-Variation-Graph-Information-Bottleneck-VGIB-
graph neural networks, information theory, AI for Sciences
Language: Python - Size: 2.31 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 7 - Forks: 0
navdeep-G/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Language: Jupyter Notebook - Size: 84.4 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 17 - Forks: 8