#
explanations
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jklaise
commented
Sep 28, 2021
The Boston dataset which we use in some examples has an ethical problem and should be replaced. Read more here: https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html#sklearn.datasets.load_boston
Impacted examples:
cfproto_housing.ipynbale_regression_boston.ipynb
The above link suggests some similar housing-related alternatives.
moDel Agnostic Language for Exploration and eXplanation
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explanations
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Apr 27, 2022 - Python
Everything you need to know about Shadow DOM
css
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May 18, 2021
Repository for the Explainable Deep One-Class Classification paper
python
machine-learning
deep-learning
pytorch
anomaly-detection
one-class-learning
explanations
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explainable-deepneuralnetwork
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May 3, 2022 - Python
A collection of common algorithms and data structures implemented in Java.
java
computer-science
algorithm
ai
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Dec 31, 2021 - Java
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。https://interpretdl.readthedocs.io/en/latest/index.html
grad-cam
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Apr 29, 2022 - Jupyter Notebook
A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
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Feb 19, 2021 - Python
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
machine-learning
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Mar 12, 2022 - Jupyter Notebook
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
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May 4, 2021
Explaining dimensionality results using SHAP values
machine-learning
dimensionality-reduction
visualizations
explanations
explainable-ai
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May 30, 2021 - Jupyter Notebook
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
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extracting-interpretable-models
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May 10, 2020 - C++
PowerShell version of explainshell.com
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Jan 30, 2022 - C#
Robust Attribution Regularization
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Feb 17, 2022 - Jupyter Notebook
Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
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Feb 23, 2021
The unofficial devRant API documentation
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Nov 18, 2020 - API Blueprint
Many time, when an interview approaches, candidates start searching for different algorithms in different programming languages for practise. This project aims to build a website which will contain the codes along with the techniques and explanations so that it can be helpful for many
bootstrap
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algorithms
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Oct 1, 2020 - JavaScript
[Python] Code repository for the paper "A Deep Adversarial Framework for Visually Explainable Periocular Recognition" - CVPR 2021 Biometrics Workshop
deep-learning
pytorch
biometrics
interpretability
cvprw
explanations
periocular-recognition
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Apr 12, 2022 - Python
Triplot: Instance- and data-level explanations for the groups of correlated features.
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Mar 10, 2021 - R
A self learning exercise in low level system programming (OS and kernel programming) for the x86 architecture.
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Jun 23, 2021 - C
A list of research papers of explainable machine learning.
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human-ai-interaction
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Jun 25, 2021
Master thesis work: explaining deep reinforcement learning policies
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explanation
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explanations
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Aug 27, 2020 - Jupyter Notebook
PrajaktaSathe
commented
Oct 11, 2021
If you have implemented searching and sorting algorithms you can add them to the repository. Please check that the algorithm you have implemented is not in the repository already.
Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs
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Jul 7, 2021 - Python
Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
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Oct 6, 2021
A list of high-quality Computer Graphics & Computer Vision learning resources.
visualization
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resources
awesome-list
explorable-explanations
explanations
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Nov 22, 2021
A PyTorch based implementation of MMD-critic
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Nov 12, 2020 - Python
This is my tutorial to help those that want to learn how to code that have no prior experience.
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Jan 3, 2021 - Python
A human-centric explainable approach for fake news spreading detection on Twitter threads
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Jun 11, 2021 - Python
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What is there in
Coin Change.md?Only a variation of unbounded Knapsack
Issue:
There exists many more variations like having a fixed number of coins or say a problem where we want to find the number of ways (ordered) a sum of money can be formed
Suggested Solution:
We can add these two explanations separately in files.