Topic: "interpretable"
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 at: 3 days ago - Pushed at: 11 months ago - Stars: 678 - Forks: 207
ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
Language: R - Size: 36.2 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 332 - Forks: 32
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
Size: 2.62 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 314 - Forks: 48
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: 611 KB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 137 - Forks: 29
hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 104 - Forks: 19
MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Language: Jupyter Notebook - Size: 8.99 MB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 85 - Forks: 16
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 at: about 2 years ago - Pushed at: over 2 years 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 at: about 2 years ago - Pushed at: about 5 years ago - Stars: 39 - Forks: 13
GemsLab/VoG_Graph_Summarization
Summarization of static graphs using the Minimum Description Length principle
Language: Python - Size: 3.01 MB - Last synced at: about 2 years ago - Pushed at: over 9 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 at: about 2 years ago - Pushed at: about 3 years ago - Stars: 23 - Forks: 6
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 at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 8
yl3800/IGV
This repo contains code for Invariant Grounding for Video Question Answering
Language: Python - Size: 706 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 2
MI2DataLab/xlungs-trustworthy-los-prediction
Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)
Language: R - Size: 2.33 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1
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 at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0
sinhvt3421/scann--material
Framework for material structure exploration
Language: Jupyter Notebook - Size: 9.53 MB - Last synced at: 19 days ago - Pushed at: 5 months ago - Stars: 6 - Forks: 0
bgreenwell/ebm
Explainable Boosting Machines
Language: R - Size: 44.5 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1
damoncrockett/wintour
Visual explanations of supervised classification models
Language: JavaScript - Size: 22.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
pourmand1376/yolov5 Fork of ultralytics/yolov5
Interpretable YOLOv5
Language: Python - Size: 19.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2
tk-svm/tksvm-op
Tensorial-kernel support vector machine (TK-SVM) is an open-source machine-learning library, used to construct complex phase diagrams and detect linear and nonlinear orders and ground-state constraints of spin systems.
Last synced at: 10 months ago - Stars: 1 - Forks: 0
