76 results found Sort:

shap
shap shap
3.2k
21.9k
mit
240
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
2,659 commits to master branch, last one 3 days ago
EthicalML
awesome-production-machine-learning EthicalML
2.2k
16.5k
mit
407
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
796 commits to master branch, last one about a month ago
interpretml
interpret interpretml
717
6.1k
mit
143
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
3,158 commits to develop branch, last one 24 hours ago
MAIF
shapash MAIF
324
2.7k
apache-2.0
37
🔅 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
1,587 commits to master branch, last one 25 days ago
hila-chefer
Transformer-Explainability hila-chefer
227
1.7k
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
323
1.3k
mit
29
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
1,964 commits to main branch, last one 11 days ago
EthicalML
xai EthicalML
160
1.1k
mit
44
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 2 years ago
h1st-ai
h1st h1st-ai
95
792
other
41
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 11 months ago
hila-chefer
Transformer-MM-Explainability hila-chefer
105
722
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
MisaOgura
flashtorch MisaOgura
89
722
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 8 months ago
alvinwan
neural-backed-decision-trees alvinwan
131
601
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 2 years ago
flyingdoog
awesome-graph-explainability-papers flyingdoog
63
581
unknown
26
Papers about explainability of GNNs
xai graph-mining deep-learning explainability explainable-ai machine-learning graph-neural-networks
Created 2021-11-01
258 commits to main branch, last one 2 days ago
explainX
explainx explainX
54
394
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
191 commits to master branch, last one 4 months ago
haofanwang
Score-CAM haofanwang
65
386
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 about a year ago
keisen
tf-keras-vis keisen
45
310
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 2 months ago
xmed-lab
CLIP_Surgery xmed-lab
20
302
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
hbaniecki
adversarial-explainable-ai hbaniecki
42
281
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 2 months ago
carla-recourse
CARLA carla-recourse
60
269
mit
6
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
256
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 2 years ago
iancovert
sage iancovert
33
236
mit
6
For calculating global feature importance using Shapley values.
shapley explainability interpretability machine-learning
Created 2020-03-13
83 commits to master branch, last one about a month ago
AI4LIFE-GROUP
OpenXAI AI4LIFE-GROUP
32
217
mit
6
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 2 months ago
dmlc
GNNLens2 dmlc
27
216
apache-2.0
10
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 about a year ago
squaredev-io
whitebox squaredev-io
5
182
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 10 months ago
chr5tphr
zennit chr5tphr
32
178
other
14
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 about a month ago
hate-alert
HateXplain hate-alert
63
177
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 about a year ago
all-things-vits
code-samples all-things-vits
11
158
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 11 months ago
marakeby
pnet_prostate_paper marakeby
53
147
gpl-2.0
1
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
cancer sparse explainability
Created 2020-10-26
46 commits to master branch, last one 2 years ago
feedzai
timeshap feedzai
28
145
other
13
TimeSHAP explains Recurrent Neural Network predictions.
rnn shap explainability shapley-values
Created 2022-01-10
53 commits to main branch, last one 5 months ago
mims-harvard
GraphXAI mims-harvard
25
142
mit
5
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
DFKI-NLP
thermostat DFKI-NLP
8
141
apache-2.0
5
Collection of NLP model explanations and accompanying analysis tools
captum datasets heatmaps transformers saliency-maps explainability explainable-nlp interpretability feature-attribution natural-language-processing
Created 2020-12-10
126 commits to main branch, last one 11 months ago