15 results found Sort:

TheAlgorithms
Algorithms-Explanation TheAlgorithms
745
3.0k
mit
81
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
algorithm algorithms explanations hacktoberfest data-structures algorithms-explained programming-languages
Created 2017-09-29
317 commits to master branch, last one 7 months ago
SeldonIO
alibi SeldonIO
252
2.4k
other
57
Algorithms for explaining machine learning models
xai explanations counterfactual interpretability machine-learning
Created 2019-02-26
663 commits to master branch, last one 6 months ago
ModelOriented
DALEX ModelOriented
166
1.4k
gpl-3.0
50
moDel Agnostic Language for Exploration and eXplanation
iml xai dalex fairness black-box data-science explanations explainable-ai explainable-ml responsible-ai responsible-ml interpretability machine-learning model-visualization predictive-modeling explanatory-model-analysis interpretable-machine-learning explainable-artificial-intelligence
Created 2018-02-18
687 commits to master branch, last one about a month ago
PaddlePaddle
InterpretDL PaddlePaddle
38
241
apache-2.0
11
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
lime grad-cam nlp-models smoothgrad explanations paddlepaddle visualizations vision-transformer model-interpretation interpretation-algorithms convolutional-neural-networks
Created 2020-06-22
492 commits to master branch, last one 2 months ago
praveenpuglia
shadow-dom-in-depth praveenpuglia
18
231
unknown
11
Everything you need to know about Shadow DOM
css slot guide doubts examples questions shadow-dom explanations shadow-roots shadow-trees web-components custom-elements document-fragment light-dom-elements
Created 2017-12-20
21 commits to master branch, last one 2 years ago
liznerski
fcdd liznerski
63
225
mit
10
Repository for the Explainable Deep One-Class Classification paper
xai python pytorch mvtec-ad explanations deep-learning machine-learning anomaly-detection one-class-learning deep-anomaly-detection explainable-deepneuralnetwork
Created 2020-07-05
40 commits to master branch, last one about a year ago
mwtarnowski
colmap-parameters mwtarnowski
12
195
unknown
7
Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
notes colmap cheatsheet explanations
Created 2021-10-06
6 commits to main branch, last one about a year ago
altamiracorp
awesome-xai altamiracorp
13
142
other
8
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
xai awesome awesome-list explanations saliency-maps saliency-methods
Created 2021-03-02
64 commits to main branch, last one 3 years ago
nishantc1527
Algorithms-Java nishantc1527
16
138
mit
10
A collection of common algorithms and data structures implemented in Java.
ai cpp java trie trees tested python3 algorithm algorithms explanations neural-network data-structures neural-networks bit-manipulation computer-science graph-algorithms sorting-algorithms dynamic-programming interview-preparation
Created 2020-04-20
375 commits to master branch, last one 2 years ago
fhvilshoj
TorchLRP fhvilshoj
26
127
mit
5
A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
lrp xai pytorch patternnet explanations
Created 2020-09-02
48 commits to master branch, last one 3 years ago
agitrubard
java-spring-best-practices agitrubard
12
103
apache-2.0
4
A repository dedicated to showcasing best practices in Java and Spring through concise code snippets.
java maven java21 spring clean-code open-source spring-boot explanations code-practice code-snippets best-practices dependency-injection factory-design-pattern strategy-design-pattern
Created 2024-06-01
30 commits to main branch, last one about a month ago
dylan-slack
Fooling-LIME-SHAP dylan-slack
16
80
mit
3
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
lime shap paper fool-lime explanations interpretability machine-learning adversarial-attacks post-hoc-explanation
Created 2019-11-09
94 commits to master branch, last one 3 years ago
mertyg
debug-mistakes-cce mertyg
7
75
mit
8
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
concepts explanations interpretability counterfactual-explanations
Created 2022-05-30
5 commits to main branch, last one 2 years ago
wilsonjr
ClusterShapley wilsonjr
3
52
bsd-3-clause
4
Explaining dimensionality results using SHAP values
explanations explainable-ai explainable-ml visualizations machine-learning cluster-formation dimensionality-reduction
Created 2021-05-12
14 commits to master branch, last one 2 years ago
akarasman
yolo-heatmaps akarasman
13
48
unknown
1
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
crp lrp xai yolo python heatmap relevance explanations explainable-ai explainable-ml computer-vision object-detection explainable-models heatmap-visualization explainable-deep-learning explainable-machine-learning explainable-deepneuralnetwork explainable-artificial-intelligence
Created 2022-04-06
14 commits to master branch, last one 9 months ago