interpretability

There are 52 repositories under interpretability topic.

shap / shap
A game theoretic approach to explain the output of any machine learning model.
deep-learning explainability gradient-boosting interpretability machine-learning shap shapley
Language:Jupyter Notebook 21732
EthicalML / awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome awesome-list data-mining deep-learning explainability interpretability large-scale-machine-learning large-scale-ml machine-learning machine-learning-operations ml-operations ml-ops mlops privacy-preserving privacy-preserving-machine-learning privacy-preserving-ml production-machine-learning production-ml responsible-ai
16175
jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
class-activation-maps computer-vision deep-learning explainable-ai explainable-ml grad-cam image-classification interpretability interpretable-ai interpretable-deep-learning machine-learning object-detection pytorch score-cam vision-transformers visualizations xai
Language:Python 9536
interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
machine-learning interpretability gradient-boosting blackbox scikit-learn xai interpretml interpretable-machine-learning interpretable-ai transparency iml interpretable-ml explainable-ml explainability bias ai artificial-intelligence explainable-ai differential-privacy
Language:C++ 6038
tensorflow / lucid
A collection of infrastructure and tools for research in neural network interpretability.
tensorflow interpretability visualization machine-learning colab jupyter-notebook
Language:Jupyter Notebook 4615
pytorch / captum
Model interpretability and understanding for PyTorch
interpretability interpretable-ai interpretable-ml feature-importance feature-attribution
Language:Python 4609
jphall663 / awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
fairness xai interpretability transparency machine-learning data-science python r awesome awesome-list machine-learning-interpretability interpretable-machine-learning interpretable-ml interpretable-ai explainable-ml ai-safety privacy-enhancing-technologies privacy-preserving-machine-learning reliable-ai secure-ml
3463
stellargraph / stellargraph
StellarGraph - Machine Learning on Graphs
graphs machine-learning machine-learning-algorithms graph-convolutional-networks networkx geometric-deep-learning saliency-map interpretability heterogeneous-networks graph-neural-networks graph-analysis graph-machine-learning gcn link-prediction stellargraph-library graph-data python deep-learning data-science
Language:Python 2898
MAIF / shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
python machine-learning explainability explainable-ml transparency ethical-artificial-intelligence shap lime interpretability
Language:Jupyter Notebook 2650
SeldonIO / alibi
Algorithms for explaining machine learning models
machine-learning explanations interpretability counterfactual xai
Language:Python 2299
chaoyanghe / Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
federated-learning machine-learning distributed-optimization non-iid vertical-federated-learning decentralized-federated-learning hierarchical-federated-learning neural-architecture-search transfer-learning continual-learning semi-supervised-learning adversarial-attack-and-defense privacy communication-efficiency straggler-problem computation-efficiency wireless-communication interpretability incentive-mechanism computer-vision
1879
torch-cam
frgfm / torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
pytorch python deep-learning cnn activation-maps gradcam-plus-plus gradcam saliency-map interpretability interpretable-deep-learning smoothgrad score-cam class-activation-map grad-cam
Language:Python 1837
google-deepmind / penzai
A JAX research toolkit for building, editing, and visualizing neural networks.
fine-tuning interpretability jax neural-networks visualization
Language:Python 1456
ramprs / grad-cam
[ICCV 2017] Torch code for Grad-CAM
convolutional-neural-networks deep-learning grad-cam heatmap iccv17 interpretability visual-explanation
Language:Lua 1436
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 1331
imodels
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
interpretability machine-learning data-science artificial-intelligence ml ai statistics scikit-learn python optimal-classification-tree rulefit imodels rule-learning supervised-learning explainable-ml explainable-ai rules bayesian-rule-list
Language:Jupyter Notebook 1295
wangyongjie-ntu / Awesome-explainable-AI
A collection of research materials on explainable AI/ML
interpretable-ai explainable-ai interpretability explanation-system xai xml counterfactual-explanations recourse
1285
microsoft / responsible-ai-toolbox
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 libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
ui responsible-ai data-science fairness fairness-ml fairness-ai explainable-ai explainable-ml explainability machinelearning machine-learning ml visualization widgets widget jupyter error-analysis data-analysis data-visualization interpretability
Language:TypeScript 1233
cdpierse / transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
nlp machine-learning natural-language-processing explainable-ai transformers model-explainability transformers-model captum deep-learning neural-network interpretability computer-vision
Language:Jupyter Notebook 1212
EthicalML / xai
XAI - An eXplainability toolbox for machine learning
explainability xai ml ai bias artificial-intelligence bias-evaluation explainable-ai explainable-ml machine-learning machine-learning-explainability interpretability xai-library evaluation imbalance upsampling downsampling feature-importance
Language:Python 1066
sicara / tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x
interpretability deep-learning tensorflow tf2 keras visualization machine-learning
Language:Python 1009
shubhomoydas / ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
active-learning adversarial-attacks anogan anomaly-detection autoencoder concept-drift ensemble-learning explaination gan generative-adversarial-network graph-convolutional-networks interpretability lstm nettack rnn streaming time-series timeseries trees unsuperivsed
Language:Python 834
kundajelab / deeplift
Public facing deeplift repo
deeplift sensitivity-analysis integrated-gradients guided-backpropagation saliency-map interpretable-deep-learning interpretability
Language:Python 798
pbiecek / xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
xai interpretability interpretable-machine-learning
Language:R 789
stanfordnlp / pyreft
ReFT: Representation Finetuning for Language Models
interpretability reft representation-finetuning
Language:Python 736
oneTaken / awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
interpretability deep-learning computer-vision awesome awesome-list papers pytorch tensorflow keras torch chainer matlab nlp neural-network cvpr iccv eccv neurips icml iclr
726
MisaOgura / flashtorch
Visualization toolkit for neural networks in PyTorch! Demo -->
pytorch neural-networks cnn interpretability machine-learning deep-learning visualization explainability
Language:HTML 722
hila-chefer / Transformer-MM-Explainability
[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-based network. Including examples for DETR, VQA.
transformers transformer vqa detr visualization explainability explainable-ai interpretability lxmert visualbert clip
Language:Jupyter Notebook 714
jphall663 / interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
machine-learning python fatml xai gradient-boosting-machine decision-tree data-science fairness interpretable-machine-learning interpretability machine-learning-interpretability iml accountability transparency data-mining interpretable-ml interpretable interpretable-ai lime h2o
Language:Jupyter Notebook 663
tensorflow / decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
python machine-learning random-forest tensorflow ml decision-trees gradient-boosting interpretability decision-forest keras
Language:Python 649
tensorflow / tcav
Code for the TCAV ML interpretability project
interpretability machine-learning tcav
Language:Jupyter Notebook 617
alvinwan / neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
decision-trees neural-networks image-classification explainability tiny-imagenet cifar10 cifar100 interpretability imagenet neural-backed-decision-trees pretrained-weights pretrained-models pytorch
Language:Python 600
xplique
deel-ai / xplique
👋 Xplique is a Neural Networks Explainability Toolbox
explainable-ai explainable-ml interpretability xai
Language:Python 575
ScalaConsultants / Aspect-Based-Sentiment-Analysis
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
aspect-based-sentiment-analysis tensorflow sentiment-analysis machine-learning interpretability distill transformers transformer-models bert-embeddings deep-learning explainable-ml explainable-ai
Language:Python 528
understandable-machine-intelligence-lab / Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
machine-learning explainable-ai quantification-evaluation-methods deep-learning pytorch tensorflow interpretability xai reproducibility
Language:Jupyter Notebook 505
kmeng01 / rome
Locating and editing factual associations in GPT (NeurIPS 2022)
transformers gpt interpretability pytorch
Language:Python 499

interpretability

shap / shap

EthicalML / awesome-production-machine-learning

jacobgil / pytorch-grad-cam

interpretml / interpret

tensorflow / lucid

pytorch / captum

jphall663 / awesome-machine-learning-interpretability

stellargraph / stellargraph

MAIF / shapash

SeldonIO / alibi

chaoyanghe / Awesome-Federated-Learning

frgfm / torch-cam

google-deepmind / penzai

ramprs / grad-cam

ModelOriented / DALEX

csinva / imodels

wangyongjie-ntu / Awesome-explainable-AI

microsoft / responsible-ai-toolbox

cdpierse / transformers-interpret

EthicalML / xai

sicara / tf-explain

shubhomoydas / ad_examples

kundajelab / deeplift

pbiecek / xai_resources

stanfordnlp / pyreft

oneTaken / awesome_deep_learning_interpretability

MisaOgura / flashtorch

hila-chefer / Transformer-MM-Explainability

jphall663 / interpretable_machine_learning_with_python

tensorflow / decision-forests

tensorflow / tcav

alvinwan / neural-backed-decision-trees

deel-ai / xplique

ScalaConsultants / Aspect-Based-Sentiment-Analysis

understandable-machine-intelligence-lab / Quantus

kmeng01 / rome