86 results found Sort:

shap
shap shap
3.3k
22.9k
mit
245
A game theoretic approach to explain the output of any machine learning model.
shap shapley deep-learning explainability interpretability machine-learning gradient-boosting
Created 2016-11-22
2,775 commits to master branch, last one a day ago
EthicalML
awesome-production-machine-learning EthicalML
2.2k
17.6k
mit
405
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
mlops ml-ops awesome data-mining awesome-list deep-learning ml-operations production-ml explainability large-scale-ml responsible-ai interpretability machine-learning privacy-preserving privacy-preserving-ml machine-learning-operations production-machine-learning large-scale-machine-learning privacy-preserving-machine-learning
Created 2018-08-15
1,023 commits to master branch, last one 4 days ago
interpretml
interpret interpretml
731
6.3k
mit
145
Fit interpretable models. Explain blackbox machine learning.
ai iml xai bias blackbox interpretml scikit-learn transparency explainability explainable-ai explainable-ml interpretability interpretable-ai interpretable-ml machine-learning gradient-boosting differential-privacy artificial-intelligence interpretable-machine-learning
Created 2019-05-03
3,497 commits to develop branch, last one a day ago
MAIF
shapash MAIF
334
2.7k
apache-2.0
38
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
lime shap python transparency explainability explainable-ml interpretability machine-learning ethical-artificial-intelligence
Created 2020-04-29
1,692 commits to master branch, last one 23 days ago
hila-chefer
Transformer-Explainability hila-chefer
241
1.8k
mit
21
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
vit bert cvpr2021 bert-model perturbation deep-learning explainability attention-matrix vision-transformer attention-visualization visualize-classifications transformer-interpretability
Created 2020-11-23
86 commits to main branch, last one about a year ago
microsoft
responsible-ai-toolbox microsoft
363
1.4k
mit
31
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...
ml ui widget jupyter widgets fairness fairness-ai fairness-ml data-science data-analysis visualization error-analysis explainability explainable-ai explainable-ml responsible-ai machinelearning interpretability machine-learning data-visualization
Created 2020-07-06
1,970 commits to main branch, last one 3 months ago
EthicalML
xai EthicalML
174
1.1k
mit
43
XAI - An eXplainability toolbox for machine learning
ai ml xai bias imbalance evaluation upsampling xai-library downsampling explainability explainable-ai explainable-ml bias-evaluation interpretability machine-learning feature-importance artificial-intelligence machine-learning-explainability
Created 2019-01-11
91 commits to master branch, last one 3 years ago
hila-chefer
Transformer-MM-Explainability hila-chefer
108
802
mit
8
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-bas...
vqa clip detr lxmert visualbert transformer transformers visualization explainability explainable-ai interpretability
Created 2021-03-23
77 commits to main branch, last one about a year ago
h1st-ai
h1st h1st-ai
94
799
other
42
Power Tools for AI Engineers With Deadlines
automl avionics cold-start time-series data-science collaboration cybersecurity hacktoberfest explainability industrial-iot home-automation human-in-the-loop autonomous-vehicles energy-optimization predictive-maintenance datascience-environment trustworthy-datascience ensemble-machine-learning
Created 2020-08-13
817 commits to main branch, last one about a year ago
MisaOgura
flashtorch MisaOgura
87
735
mit
16
Visualization toolkit for neural networks in PyTorch! Demo -->
cnn pytorch deep-learning visualization explainability neural-networks interpretability machine-learning
Created 2019-03-22
127 commits to main branch, last one about a year ago
flyingdoog
awesome-graph-explainability-papers flyingdoog
67
659
unknown
28
Papers about explainability of GNNs
xai graph-mining deep-learning explainability explainable-ai machine-learning graph-neural-networks
Created 2021-11-01
281 commits to main branch, last one about a month ago
alvinwan
neural-backed-decision-trees alvinwan
130
608
mit
18
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
cifar10 pytorch cifar100 imagenet tiny-imagenet decision-trees explainability neural-networks interpretability pretrained-models pretrained-weights image-classification neural-backed-decision-trees
Created 2020-03-20
830 commits to master branch, last one 3 years ago
explainX
explainx explainX
54
418
mit
10
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 @ ms...
xai bias blackbox explainx scikit-learn transparency aws-sagemaker explainability explainable-ai explainable-ml interpretability interpretable-ai machine-learning interpretable-machine-learning machine-learning-interpretability explainable-artificial-intelligence
Created 2020-06-16
192 commits to master branch, last one 3 months ago
haofanwang
Score-CAM haofanwang
66
405
mit
6
Official implementation of Score-CAM in PyTorch
cam gradcam heatmap pytorch grad-cam saliency scorecam score-cam gradient-free explainability cnn-visualization visual-explanations class-activation-maps cnn-visualization-technique
Created 2020-04-13
51 commits to master branch, last one 2 years ago
xmed-lab
CLIP_Surgery xmed-lab
25
361
unknown
5
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
sam clip multilabel multimodal segmentation explainability open-vocabulary interpretability segment-anything vision-transformer
Created 2023-04-11
9 commits to master branch, last one about a year ago
keisen
tf-keras-vis keisen
45
315
mit
8
Neural network visualization toolkit for tf.keras
xai keras python gradcam grad-cam saliency keras-vis score-cam tensorflow xai-library deep-learning saliency-maps visualization explainability explainable-ai explainable-ml gradcam-plus-plus keras-visualization activation-maximization
Created 2019-10-31
395 commits to master branch, last one 8 months ago
hbaniecki
adversarial-explainable-ai hbaniecki
44
299
cc-by-sa-4.0
15
💡 Adversarial attacks on explanations and how to defend them
iml xai deep model attacks defense security evaluation robustness adversarial interpretable counterfactual explainability explainable-ai responsible-ai interpretability adversarial-attacks adversarial-examples adversarial-machine-learning interpretable-machine-learning
Created 2020-07-30
121 commits to master branch, last one 8 months ago
carla-recourse
CARLA carla-recourse
61
283
mit
7
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
python pytorch recourse benchmark tensorflow tensorflow2 benchmarking counterfactual explainability explainable-ai explainable-ml counterfactuals machine-learning artificial-intelligence counterfactual-explanations
Created 2020-12-09
121 commits to main branch, last one about a year ago
sebastian-hofstaetter
matchmaker sebastian-hofstaetter
30
261
apache-2.0
7
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
dpr pytorch neural-ir efficiency transformer explainability neural-ranking knowledge-distillation
Created 2019-10-30
12 commits to master branch, last one 3 years ago
iancovert
sage iancovert
34
253
mit
5
For calculating global feature importance using Shapley values.
shapley explainability interpretability machine-learning
Created 2020-03-13
89 commits to master branch, last one 3 months ago
dmlc
GNNLens2 dmlc
27
239
apache-2.0
11
Visualization tool for Graph Neural Networks
dgl xai pytorch deep-learning visualization explainability graph-visualization graph-neural-networks graph-representation-learning
Created 2021-08-30
36 commits to main branch, last one 2 years ago
AI4LIFE-GROUP
OpenXAI AI4LIFE-GROUP
39
233
mit
8
OpenXAI : Towards a Transparent Evaluation of Model Explanations
benchmark leaderboard explainability explainable-ai reproducibility interpretability
Created 2022-06-08
179 commits to main branch, last one 7 months ago
mmschlk
shapiq mmschlk
12
221
mit
6
Shapley Interactions for Machine Learning
shap python shapiq shapley explainability interpretability machine-learning feature-interactions shapley-interactions
Created 2023-10-17
785 commits to main branch, last one 3 days ago
chr5tphr
zennit chr5tphr
32
202
other
15
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
lrp xai python pytorch attribution deep-learning explainability explainable-ai interpretability interpretable-ai interpretable-ml machine-learning feature-attribution
Created 2020-11-10
232 commits to master branch, last one 7 months ago
hate-alert
HateXplain hate-alert
64
189
mit
7
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
bias lstm detection offensive bert-model hatespeech hate-speech attention-lstm explainability bert-fine-tuning interpretable-deep-learning
Created 2020-05-01
92 commits to master branch, last one 2 years ago
squaredev-io
whitebox squaredev-io
5
183
mit
6
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
k8s xai mlops mlflow python recall accuracy f1-score modelops kubernetes monitoring ml-monitoring observability accuracy-score explainability explainable-ai accuracy-metrics confusion-matrix machine-learning model-monitoring
Created 2022-09-09
151 commits to main branch, last one about a year ago
all-things-vits
code-samples all-things-vits
10
174
apache-2.0
6
Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
timm cvpr2023 tutorial attention diffusers transformers explainability vision-transformers representation-learning
Created 2023-06-08
25 commits to main branch, last one about a year ago
mims-harvard
GraphXAI mims-harvard
29
173
mit
6
GraphXAI: Resource to support the development and evaluation of GNN explainers
embeddings benchmarking deep-learning explainability explainable-ai explainable-ml interpretability graph-neural-networks graph-machine-learning
Created 2021-06-16
736 commits to main branch, last one about a year ago
feedzai
timeshap feedzai
30
162
other
13
TimeSHAP explains Recurrent Neural Network predictions.
rnn shap explainability shapley-values
Created 2022-01-10
53 commits to main branch, last one 11 months ago
csinva
imodelsX csinva
26
161
mit
6
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
ai ml xai text pytorch huggingface scikit-learn deep-learning explainability language-model neural-network interpretability machine-learning transformer-models text-classification natural-language-processing natural-language-understanding
Created 2022-10-04
346 commits to master branch, last one 15 days ago