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Search results for jupyter notebook interpretable machine learning
interpretable-machine-learning
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31 search results found
Piml Toolbox
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797
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Omnixai
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674
OmniXAI: A Library for eXplainable AI
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Mli Resources
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405
H2O.ai Machine Learning Interpretability Resources
Explainx
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375
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @
[email protected]
Cnn Exposed
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157
🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.
Gsat
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111
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Zennit Crp
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80
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
Machine Learning For High Risk Applications Book
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60
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
Potato
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44
XAI based human-in-the-loop framework for automatic rule-learning.
Benchmarking And Mli Experiments On The Adult Dataset
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32
Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
Diabetes_use_case
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19
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
Artemis
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19
A Python package with explanation methods for extraction of feature interactions from predictive models
Blase
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19
Interpretable Machine Learning for astronomical spectroscopy in PyTorch and JAX
Plaquebox Paper
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18
Repo for Tang et al, bioRxiv 454793 (2018)
Hint
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17
[CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
Interpretable Ml
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17
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Xai Scholar
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16
Cross-field empirical trends analysis of XAI literature
Netlens
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14
A toolkit for interpreting and analyzing neural networks (vision)
Post Attribution Baselines
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13
The repository for the submission "Visualizing the Impact of Feature Attribution Baselines"
Article Information 2019
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10
Article for Special Edition of Information: Machine Learning with Python
Quantified Sleep
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9
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
Hydro Interpretive Dl
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9
Interpretive deep learning for identifying flooding mechanisms
Learning Scaffold
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9
This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
Interpretable Image Classification
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9
Interpretability methods applied on image classifiers trained on MNIST and CIFAR10
Transparentml
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9
An Introduction to Transparent Machine Learning
Rnagps
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7
Interpretable model of sub-cellular RNA localization.
Robust Counterfactuals
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6
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Explaining_predictions_with_lime
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6
Interpretable_nn_attribution
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5
Source code from our RecSys 2020 paper: "Making neural network interpretable with attribution: application to implicit signals prediction" (D. Afchar, R. Hennequin)
Intro To Transparent Ml Course
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5
An Introduction to Transparent Machine Learning
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1-31 of 31 search results
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