#
interpretable-machine-learning
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305 public repositories
matching this topic...
Updated
Apr 27, 2018
Jupyter Notebook
On the importance of single directions for generalization(Morcos et al, ICLR 2018)
Updated
Jul 23, 2018
Shell
Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
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Aug 21, 2018
Python
Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R
Updated
Oct 14, 2018
Jupyter Notebook
Visualization of Adversarial Examples
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Oct 14, 2018
Python
Updated
Oct 27, 2018
Jupyter Notebook
"Deriving Machine Attention from Human Rationales" EMNLP 2018
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Feb 15, 2019
Python
Shapley Values with H2O AutoML Example (ML Interpretability)
Updated
Mar 17, 2019
HTML
Repo for Tang et al, bioRxiv 454793 (2018)
Updated
Mar 24, 2019
Jupyter Notebook
🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.
Updated
Mar 29, 2019
Jupyter Notebook
Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"
Updated
May 14, 2019
Python
Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
Updated
May 19, 2019
Jupyter Notebook
Applying ML interpretation methods on the pet-finder Kaggle challenge
Updated
Jun 9, 2019
Jupyter Notebook
# nocode.ai A User-Friendly platform to develop Machine Learning Models
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Updated
Jul 5, 2019
Jupyter Notebook
R Package: Tame your models' output with INTerval-bAsed Marginal Effects!
Dataiku plugin to interpret the predictions of a Machine Learning model
Updated
Jul 19, 2019
Python
Interpretability of deep representation learning models
Updated
Nov 16, 2019
Jupyter Notebook
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