Home for explainer documents originated by the Microsoft Edge team
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Dec 15, 2021 - HTML
#
explainer
Here are 21 public repositories matching this topic...
The Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
python
machine-learning
deep-learning
pytorch
explainer
interpretable-models
mimic-explainer
tabular-explainer
explanationdashboard
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Jan 6, 2022 - Python
janhavi13
commented
Jun 19, 2020
Remove pinned transfomer version from generate_conda_files
https://github.com/interpretml/interpret-text/blob/97416a0a9cc3e60bcb1221f878577762c64df02e/tools/generate_conda_files.py#L65
Explanation method for Graph Neural Networks (GNNs)
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Jun 29, 2021 - Python
Different approaches to solving coding challenges, along with explanations of the thinking involved.
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Dec 26, 2020 - Ruby
A small explainer repository that shows how to use the BEM syntax in CSS.
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May 20, 2021 - HTML
SudokuNCExplainer is my modifications to SudokuExplainer to also solve (and rate) Non-Consecutive sudokus (SudokuNC).
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Oct 19, 2020 - Java
画像の分類とモデルの説明性を可視化します。
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Sep 10, 2021 - Jupyter Notebook
A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
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Sep 30, 2020 - Python
Explainers for several kinds of units proposed for inclusion in CSS (and SCSS and LESS)
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Apr 7, 2020
This is the Java code (source only) for wookie2u2's SudokuExplainer from: https://sourceforge.net/projects/sudoku-explainer/
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Dec 8, 2021 - Java
A LIME explainer app for fine-grained sentiment classification, written using Dash.
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Sep 30, 2020 - Python
This project is aimed at providing fast and efficient monitoring for discrete event systems
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Dec 8, 2021 - C
A small exposition of the uses, terminology and practice of the Apache Camel framework
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Mar 29, 2020 - Java
Bachelor Thesis about using attention for explaining a deep learning AI model in computer vision
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Sep 6, 2021
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Recently
dtreevizhas added support for lightgbm models: https://github.com/parrt/dtreeviz/So it would be cool to add the same tree visualization in explainerdashboard that already exist for RandomForest, ExtraTrees and XGBoost models.
If someone wants to pitch in to help extract individual predictions of decision trees inside lightgbm boosters and then get them in shape to be used by the