explanations

There are 1 repository under explanations topic.

TheAlgorithms / Algorithms-Explanation
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
algorithm programming-languages hacktoberfest data-structures algorithms algorithms-explained explanations
3105
SeldonIO / alibi
Algorithms for explaining machine learning models
counterfactual explanations interpretability machine-learning xai
Language:Python 2482
DALEX
ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation
machine-learning interpretability data-science xai iml model-visualization dalex explanations explainable-ai explainable-artificial-intelligence predictive-modeling black-box explainable-ml interpretable-machine-learning explanatory-model-analysis responsible-ai responsible-ml fairness
Language:Python 1440
PaddlePaddle / InterpretDL
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
interpretation-algorithms paddlepaddle vision-transformer model-interpretation explanations grad-cam lime convolutional-neural-networks nlp-models smoothgrad visualizations
Language:Python 255
praveenpuglia / shadow-dom-in-depth
Everything you need to know about Shadow DOM
shadow-dom web-components guide doubts questions explanations examples custom-elements shadow-roots slot document-fragment light-dom-elements shadow-trees css
234
liznerski / fcdd
Repository for the Explainable Deep One-Class Classification paper
anomaly-detection deep-learning one-class-learning xai explanations explainable-deepneuralnetwork machine-learning deep-anomaly-detection pytorch python mvtec-ad
Language:Python 228
mwtarnowski / colmap-parameters
Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
cheatsheet colmap explanations notes
210
altamiracorp / awesome-xai
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
awesome awesome-list explanations saliency-maps saliency-methods xai
157
nishantc1527 / Algorithms-Java
A collection of common algorithms and data structures implemented in Java.
explanations java python3 cpp data-structures algorithms trees trie tested bit-manipulation dynamic-programming graph-algorithms ai neural-network neural-networks sorting-algorithms interview-preparation algorithm computer-science
Language:Java 138
fhvilshoj / TorchLRP
A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
patternnet pytorch lrp xai explanations
Language:Python 135
agitrubard / java-spring-best-practices
A repository dedicated to showcasing best practices in Java and Spring through concise code snippets.
best-practices clean-code code-snippets explanations java java21 maven open-source spring spring-boot code-practice dependency-injection factory-design-pattern strategy-design-pattern
Language:Java 107
Fooling-LIME-SHAP
dylan-slack / Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
adversarial-attacks lime shap interpretability machine-learning explanations post-hoc-explanation paper fool-lime
Language:Jupyter Notebook 83
mertyg / debug-mistakes-cce
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
concepts counterfactual-explanations explanations interpretability
Language:Python 75
wilsonjr / ClusterShapley
Explaining dimensionality results using SHAP values
cluster-formation dimensionality-reduction explainable-ai explainable-ml explanations machine-learning visualizations
Language:C++ 53
akarasman / yolo-heatmaps
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
lrp crp yolo xai computer-vision object-detection heatmap-visualization heatmap explainable-ai explainable-artificial-intelligence explainable-deep-learning explainable-deepneuralnetwork explainable-machine-learning explainable-ml explainable-models explanations python relevance
Language:Jupyter Notebook 49
Jawz84 / explainpowershell
PowerShell version of explainshell.com
azure explain explanations language powershell tool
Language:C# 36
BirkhoffG / Explainable-ML-Papers
A list of research papers of explainable machine learning.
machine-learning xai paper academic research interpretability explainability explainable-ml interpretable-ml interpretable-models explanations counterfactual-explanations recourse survey awesome human-ai-interaction human-in-the-loop-machine-learning human-in-the-loop trustworthy-machine-learning
35
dmitrykazhdan / MARLeME
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
reinforcement-learning marl multi-agent-reinforcement-learning interpretability explainability model-extraction model-extractor open-ai open-ai-gym knowledge-extraction abstract-argumentation plug-and-play library reinforcement-learning-agent extracting-interpretable-models lime explanations rl xai
Language:C++ 21
cmu-transparency / aaai-2021-tutorial
Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
fairness explanations robustness privacy
18
jpmorganchase / cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
explainability explainable-ai explainable-artificial-intelligence explainable-ml explanations feature-attribution feature-importance machine-learning shap shapley shapley-values tree-based xgboost algorithmic-recourse counterfactual-explanations counterfactuals facct2022 explainable-machine-learning
Language:HTML 18
visionspacetec / Prust
PUS-C on Rust. This is the entry point for the Prust tools. List of the tools and a Wiki for them.
pus rust explanations prust-app freertos wiki
17
devRant-Community / API-Docs
The unofficial devRant API documentation
api devrant docs documentation explanations playground
Language:API Blueprint 16
jfc43 / robust-attribution-regularization
Robust Attribution Regularization
explanations machine-learning robustness
Language:Jupyter Notebook 16
maxidl / MMD-critic
A PyTorch based implementation of MMD-critic
interpretability pytorch prototypes criticisms example-based-explanations explanations
Language:Python 16
ojoaobrito / ExplainablePR
Code repository for the paper "A Deep Adversarial Framework for Visually Explainable Periocular Recognition" - CVPR 2021 Biometrics Workshop
deep-adversarial-framework deep-learning pytorch interpretability explanations cvprw biometrics periocular-recognition periocular-biometrics
Language:Python 16
mwtarnowski / graphics-and-vision-well-explained
A list of high-quality Computer Graphics & Computer Vision learning resources.
explorable-explanations awesome-list interactive visualization computer-vision computer-graphics resources awesome explanations
12
jpmorganchase / cf-shap-facct22
Counterfactual Shapley Additive Explanation: Experiments
facct2022 shapley explanations algorithmic-recourse counterfactual-explanations counterfactuals explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml feature-attention feature-importance machine-learning shap shapley-values tree-based xgboost
Language:Jupyter Notebook 11
LetsUpgrade / Algorithmic-Treasure
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
cpp python3 html5 css3 bootstrap4 datastructures algorithms interview-approaches practise explanations programming-languages bootstrap
Language:JavaScript 11
mhmgad / ExCut
Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs
triples entities explain-clusters explanations kgs
Language:Python 10
PrajaktaSathe / CPP
Features programs and explanations in C++. You are welcome to contribute here!
cpp data-structures-and-algorithms data-structures good-first-pr beginner-friendly good-first-issue beginner algorithms description explanation algorithm explanations searching sorting implementation-of-algorithms implementation-of-data-structures documentation hacktoberfest hacktoberfest-accepted hacktoberfest2022
Language:C++ 10
ModelOriented / triplot
Triplot: Instance- and data-level explanations for the groups of correlated features.
xai explanations machine-learning explanatory-model-analysis model-visualization
Language:R 9
bonaert / explainable_rl
Master thesis work: explaining deep reinforcement learning policies
deep-learning explainable-ai explanation explanations hierarchical-agents hierarchical-reinforcement-learning high-level-plan machine-learning reinforcement-learning subgoals
Language:Jupyter Notebook 8
RedFox0x20 / RedFox32_Old
A self learning exercise in low level system programming (OS and kernel programming) for the x86 architecture.
kernel qemu architecture explanations osdev operating-system operating-system-learning kernel-source learning-by-doing learning-exercise hardware drivers
Language:C 8
UZ
Guliveer / UZ
A collection of assignments I've completed during my studies on the University of Zielona Góra since October 2023
basics explanations learning programming-exercises programming-languages simple variety university c cpp java networking ocaml operating-systems
Language:C 5
JustJie2002 / Leetcode
My Leetcode Adventure
dsa explanations leetcode
Language:C++ 5
michelecafagna26 / vl-shap
[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"
explainable-ai explainable-machine-learning explanations generative-ai interpretable-ai multimodal-deep-learning semantic shap stego vision-and-language vision-language vl xai vl-shap
Language:Jupyter Notebook 5

explanations

TheAlgorithms / Algorithms-Explanation

SeldonIO / alibi

ModelOriented / DALEX

PaddlePaddle / InterpretDL

praveenpuglia / shadow-dom-in-depth

liznerski / fcdd

mwtarnowski / colmap-parameters

altamiracorp / awesome-xai

nishantc1527 / Algorithms-Java

fhvilshoj / TorchLRP

agitrubard / java-spring-best-practices

dylan-slack / Fooling-LIME-SHAP

mertyg / debug-mistakes-cce

wilsonjr / ClusterShapley

akarasman / yolo-heatmaps

Jawz84 / explainpowershell

BirkhoffG / Explainable-ML-Papers

dmitrykazhdan / MARLeME

cmu-transparency / aaai-2021-tutorial

jpmorganchase / cf-shap

visionspacetec / Prust

devRant-Community / API-Docs

jfc43 / robust-attribution-regularization

maxidl / MMD-critic

ojoaobrito / ExplainablePR

mwtarnowski / graphics-and-vision-well-explained

jpmorganchase / cf-shap-facct22

LetsUpgrade / Algorithmic-Treasure

mhmgad / ExCut

PrajaktaSathe / CPP

ModelOriented / triplot

bonaert / explainable_rl

RedFox0x20 / RedFox32_Old

Guliveer / UZ

JustJie2002 / Leetcode

michelecafagna26 / vl-shap