Projects in Awesome Lists tagged with explainability

https://github.com/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

Last synced: 11 Dec 2025

https://github.com/interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

ai artificial-intelligence bias blackbox differential-privacy explainability explainable-ai explainable-ml gradient-boosting iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml interpretml machine-learning scikit-learn transparency xai

Last synced: 06 Feb 2026

https://github.com/maif/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency

Last synced: 30 Jan 2026

https://github.com/MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency

Last synced: 26 Mar 2025

https://github.com/hila-chefer/transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

attention-matrix attention-visualization bert bert-model cvpr2021 deep-learning explainability perturbation transformer-interpretability vision-transformer visualize-classifications vit

Last synced: 15 May 2025

https://github.com/hila-chefer/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

attention-matrix attention-visualization bert bert-model cvpr2021 deep-learning explainability perturbation transformer-interpretability vision-transformer visualize-classifications vit

Last synced: 27 Mar 2025

https://github.com/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.

data-analysis data-science data-visualization error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml interpretability jupyter machine-learning machinelearning ml responsible-ai ui visualization widget widgets

Last synced: 13 May 2025

https://github.com/ethicalml/xai

XAI - An eXplainability toolbox for machine learning

ai artificial-intelligence bias bias-evaluation downsampling evaluation explainability explainable-ai explainable-ml feature-importance imbalance interpretability machine-learning machine-learning-explainability ml upsampling xai xai-library

Last synced: 15 May 2025

https://github.com/EthicalML/xai

XAI - An eXplainability toolbox for machine learning

ai artificial-intelligence bias bias-evaluation downsampling evaluation explainability explainable-ai explainable-ml feature-importance imbalance interpretability machine-learning machine-learning-explainability ml upsampling xai xai-library

Last synced: 14 Mar 2025

https://github.com/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.

clip detr explainability explainable-ai interpretability lxmert transformer transformers visualbert visualization vqa

Last synced: 12 Apr 2025

https://github.com/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.

clip detr explainability explainable-ai interpretability lxmert transformer transformers visualbert visualization vqa

Last synced: 03 Apr 2025

https://github.com/h1st-ai/h1st

Power Tools for AI Engineers With Deadlines

automl autonomous-vehicles avionics cold-start collaboration cybersecurity data-science datascience-environment energy-optimization ensemble-machine-learning explainability hacktoberfest home-automation human-in-the-loop industrial-iot predictive-maintenance time-series trustworthy-datascience

Last synced: 14 Mar 2025

https://github.com/MisaOgura/flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

cnn deep-learning explainability interpretability machine-learning neural-networks pytorch visualization

Last synced: 27 Mar 2025

https://github.com/alvinwan/neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

cifar10 cifar100 decision-trees explainability image-classification imagenet interpretability neural-backed-decision-trees neural-networks pretrained-models pretrained-weights pytorch tiny-imagenet

Last synced: 27 Jun 2025

https://github.com/explainx/explainx

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 @ ms8909@nyu.edu

aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai

Last synced: 16 May 2025

https://github.com/explainX/explainx

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 @ ms8909@nyu.edu

aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai

Last synced: 04 Apr 2025

https://github.com/haofanwang/score-cam

Official implementation of Score-CAM in PyTorch

cam class-activation-maps cnn-visualization cnn-visualization-technique explainability grad-cam gradcam gradient-free heatmap pytorch saliency score-cam scorecam visual-explanations

Last synced: 06 Apr 2025

https://github.com/xmed-lab/CLIP_Surgery

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

clip explainability interpretability multilabel multimodal open-vocabulary sam segment-anything segmentation vision-transformer

Last synced: 16 Mar 2025

https://github.com/keisen/tf-keras-vis

Neural network visualization toolkit for tf.keras

activation-maximization deep-learning explainability explainable-ai explainable-ml grad-cam gradcam gradcam-plus-plus keras keras-vis keras-visualization python saliency saliency-maps score-cam tensorflow visualization xai xai-library

Last synced: 15 May 2025

https://github.com/hbaniecki/adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

adversarial adversarial-attacks adversarial-examples adversarial-machine-learning attacks counterfactual deep defense evaluation explainability explainable-ai iml interpretability interpretable interpretable-machine-learning model responsible-ai robustness security xai

Last synced: 27 Jan 2026

https://github.com/carla-recourse/carla

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

artificial-intelligence benchmark benchmarking counterfactual counterfactual-explanations counterfactuals explainability explainable-ai explainable-ml machine-learning python pytorch recourse tensorflow tensorflow2

Last synced: 05 Apr 2025

https://github.com/iancovert/sage

For calculating global feature importance using Shapley values.

explainability interpretability machine-learning shapley

Last synced: 26 Mar 2025

https://github.com/dmlc/gnnlens2

Visualization tool for Graph Neural Networks

deep-learning dgl explainability graph-neural-networks graph-representation-learning graph-visualization pytorch visualization xai

Last synced: 28 Oct 2025

https://github.com/AI4LIFE-GROUP/OpenXAI

OpenXAI : Towards a Transparent Evaluation of Model Explanations

benchmark explainability explainable-ai interpretability leaderboard reproducibility

Last synced: 28 Apr 2025

https://github.com/chr5tphr/zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

attribution deep-learning explainability explainable-ai feature-attribution interpretability interpretable-ai interpretable-ml lrp machine-learning python pytorch xai

Last synced: 09 Apr 2025

https://github.com/charlesdedampierre/BunkaTopics

🗺️ Data Cleaning and Textual Data Visualization 🗺️

cartography data-cleaning explainability fine-tuning llms machine-learning natural-language-processing nlp summarization topic-modeling

Last synced: 30 Aug 2025

https://github.com/squaredev-io/whitebox

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

accuracy accuracy-metrics accuracy-score confusion-matrix explainability explainable-ai f1-score k8s kubernetes machine-learning ml-monitoring mlflow mlops model-monitoring modelops monitoring observability python recall xai

Last synced: 17 Jan 2026

https://github.com/feedzai/timeshap

TimeSHAP explains Recurrent Neural Network predictions.

explainability rnn shap shapley-values

Last synced: 05 Apr 2025

https://github.com/mims-harvard/graphxai

GraphXAI: Resource to support the development and evaluation of GNN explainers

benchmarking deep-learning embeddings explainability explainable-ai explainable-ml graph-machine-learning graph-neural-networks interpretability

Last synced: 10 Oct 2025

https://github.com/csinva/imodelsX

Interpret text data using LLMs (scikit-learn compatible).

ai deep-learning explainability huggingface interpretability language-model machine-learning ml natural-language-processing natural-language-understanding neural-network pytorch scikit-learn text text-classification transformer-models xai

Last synced: 05 May 2025

https://github.com/pietrobarbiero/pytorch_explain

PyTorch Explain: Interpretable Deep Learning in Python.

deep-learning entropy explainability explainable-ai interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning lens logic machine-learning neural-network python pytorch sympy

Last synced: 06 Apr 2025

https://github.com/astrazeneca/awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

artificial-intelligence data-science deep-learning explainability explainable explainable-ai explainable-artificial-intelligence explainable-ml lime machine-learning owen-value shap shapley shapley-additive-explanations shapley-decomposition shapley-q-value shapley-value xai

Last synced: 26 Dec 2025

https://github.com/hila-chefer/robustvit

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

explainability neurips neurips-2022 robustness vision-transformer

Last synced: 13 Oct 2025

https://github.com/csinva/hierarchical-dnn-interpretations

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

acd ai artificial-intelligence convolutional-neural-networks data-science deep-learning deep-neural-networks explainability explainable-ai feature-importance iclr interpretability interpretation jupyter-notebook machine-learning ml neural-network python pytorch statistics

Last synced: 13 Jun 2025

https://github.com/hila-chefer/RobustViT

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

explainability neurips neurips-2022 robustness vision-transformer

Last synced: 08 May 2025

https://github.com/laura-rieger/deep-explanation-penalization

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

ai artificial-intelligence cdep convolutional-neural-network data-science deep-learning explainability explainable-ai fairness fairness-ml feature-importance interpretability interpretable-deep-learning jupyter-notebook machine-learning ml neural-network python pytorch recurrent-neural-network

Last synced: 08 May 2025

https://github.com/baldassarrefe/graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

artificial-intelligence bioinformatics explainability graph-networks

Last synced: 18 Mar 2025

https://github.com/d909b/cxplain

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

deep-learning explainability explainable-ai explainable-ml interpretability machine-learning

Last synced: 17 Sep 2025

https://github.com/givasile/effector

Effector - a Python package for global and regional effect methods

explainability iml xai

Last synced: 05 Apr 2026

https://github.com/MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

chemprop compchem computational-chemistry explainability hyperparameter-optimization optuna peptide-modelling qsar qsar-models uncertainty-estimation

Last synced: 28 Sep 2025

https://github.com/M-Nauta/ProtoTree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

computer-vision cvpr2021 decision-trees deep-neural-networks explainability explainable-ai explainable-ml fine-grained-classification fine-grained-visual-categorization interpretability interpretable-deep-learning interpretable-machine-learning pytorch

Last synced: 08 May 2025

https://github.com/snehankekre/streamlit-shap

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

explainability interpretability machine-learning shap shapley streamlit streamlit-component

Last synced: 21 Aug 2025

https://github.com/SAP-archive/contextual-ai

Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.

explainability machine-learning report-generator

Last synced: 18 Jul 2025

https://github.com/mertyg/post-hoc-cbm

Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023

concept-based-explanations concept-based-models concepts explainability interpretability

Last synced: 04 Sep 2025

https://github.com/csinva/imodelsx

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

ai deep-learning explainability huggingface interpretability language-model machine-learning ml natural-language-processing natural-language-understanding neural-network pytorch scikit-learn text text-classification transformer-models xai

Last synced: 16 May 2025

https://github.com/hila-chefer/conceptor

Official implementation of the paper The Hidden Language of Diffusion Models

explainability explainable-ai generative-model stable-diffusion

Last synced: 03 Jul 2025

https://github.com/fat-forensics/fat-forensics

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

accountability explainability explainable-ai fairness interpretability interpretable-ai machine-learning transparency

Last synced: 27 Mar 2025

https://github.com/hila-chefer/Conceptor

Official implementation of the paper The Hidden Language of Diffusion Models

explainability explainable-ai generative-model stable-diffusion

Last synced: 27 Mar 2025

https://hila-chefer.github.io/Conceptor/

Official implementation of the paper The Hidden Language of Diffusion Models

explainability explainable-ai generative-model stable-diffusion

Last synced: 27 Mar 2025

https://github.com/deel-ai/influenciae

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

explainability explainable-ai fairness-ai influence-functions misclassification outlier-detection

Last synced: 16 May 2025

https://github.com/chirag-agarwall/VOG

Estimating Example Difficulty using Variance of Gradients

atypical-examples deep-learning explainability human-in-the-loop-auditing interpretability

Last synced: 08 May 2025

https://github.com/linkedin/te2rules

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

explainability explainable-ai interpretability interpretable-ai machine-learning random-forest rule-learning tree-ensembles xgboost

Last synced: 01 Mar 2026

https://github.com/serre-lab/harmonization

👋 Aligning Human & Machine Vision using explainability

deep-learning explainability explainable-ai interpretability machine-learning neuroscience

Last synced: 08 Aug 2025

https://github.com/adaamko/potato

XAI based human-in-the-loop framework for automatic rule-learning.

classification explainability explainable-ai explainable-ml information-extraction interpretable-ai interpretable-machine-learning nlp nlp-machine-learning

Last synced: 27 Jul 2025

https://github.com/tjiagoM/spatio-temporal-brain

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

explainability fmri gnn temporal-convolutional-network wandb-agent

Last synced: 01 May 2025

https://github.com/serre-lab/lens

LENS Project

deep-learning explainability xai

Last synced: 29 Jan 2026

https://github.com/csinva/iprompt

Finding semantically meaningful and accurate prompts.

ai autoprompt deep-learning explainability explainable-ai interpretability iprompt language-model large-language-models ml natural-language-processing neural-network prompting text text-classification xai

Last synced: 30 Apr 2025

https://github.com/trustyai-explainability/trustyai-explainability

TrustyAI Explainability Toolkit

explainability explainableai hacktoberfest interpretability java python xai xai-library

Last synced: 13 Jul 2025

https://github.com/florianwilhelm/lda4rec

🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.

collaborative-filtering explainability interpretability python recommender-system

Last synced: 15 Sep 2025

https://github.com/microsoft/augmented-interpretable-models

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

ai artificial-intelligence deep-learning distillation embedding explainability huggingface interpretability language-model large-language-models linear linear-models logistic-regression machine-learning ml neural-network scikit-learn sentiment-classification transformer transparent

Last synced: 19 Oct 2025

https://github.com/csinva/interpretable-embeddings

Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

ai artificial-intelligence embeddings encoding-models explainability fmri huggingface language-model llm neural-network neuroscience rag retrieval-augmented-generation transformer xai

Last synced: 07 May 2025

https://github.com/yc015/scene-representation-diffusion-model

Linear probe found representations of scene attributes in a text-to-image diffusion model

explainability image-editing interpretability scene stable-diffusion

Last synced: 20 Jan 2026

https://github.com/zbr17/AVSL

[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning

explainability metric-learning similarity-learning

Last synced: 08 May 2025

https://github.com/pyartemis/artemis

A Python package with explanation methods for extraction of feature interactions from predictive models

data-science explainability explainable-ai explainable-ml explanatory-model-analysis iml interpretability interpretable-machine-learning machine-learning predictive-modeling xai xai-library

Last synced: 13 Dec 2025

https://github.com/microsoft/responsible-ai-workshop

Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice

error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml jupyter-notebook machine-learning ml mlops-workshop principles responsible-ai widgets

Last synced: 16 Mar 2026

https://github.com/koriavinash1/bioexp

Explainability of Deep Learning Models

ablation activation-maximization causal-inference causality clustering concept-extraction dissection explainability explainable-ai gradcam interpretability interpretable-ai intervention joint-analysis rct uncertainty

Last synced: 01 May 2025

https://github.com/oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

ai automated-machine-learning automl automlx classification data-science explainability fairness fairness-ai hyperparameter-optimization interpretability machine-learning machine-learning-explainability mlx oracle python regression timeseries-forecasting tuning unsupervised-anomaly-detection

Last synced: 01 Jul 2025

https://github.com/cloudera/cml_amp_explainability_lime_shap

Learn how to explain ML models using LIME and SHAP.

explainability interpretability lime shap

Last synced: 13 Apr 2025

https://github.com/lexsi-labs/dlbacktrace

DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.

deep-learning explainability xai

Last synced: 13 Apr 2026

https://github.com/agamiko/gebi

GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset

attention-maps deep-learning explainability explainable-ai global-explanation

Last synced: 14 Apr 2025

https://github.com/hi-paris/xper

A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

explainability interpretability machine-learning performance-metrics shap shapley-value

Last synced: 09 Apr 2026

https://github.com/AgaMiko/GEBI

GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset

attention-maps deep-learning explainability explainable-ai global-explanation

Last synced: 19 Apr 2025

https://github.com/cloudera/cml_amp_churn_prediction

Build an scikit-learn model to predict churn using customer telco data.

churn-prediction explainability interpretability lime logistic-regression

Last synced: 13 Apr 2025

https://github.com/capitalone/ablation

Evaluating XAI methods through ablation studies.

ablation explainability ground-truth xai

Last synced: 01 Sep 2025

https://github.com/jgalego/awesome-safety-critical-ai

A curated list of references on the role of AI in safety-critical systems ⚠️

ai-privacy ai-safety artificial-intelligence awesome awesome-list awesome-lists compliance explainability genai machine-learning red-team reliability responsible-ai safety-critical trustworthy-ai

Last synced: 01 Mar 2025

https://github.com/britojr/diffi

Interpretation of Isolation Forests

anomaly-detection diffi explainability interpretability machine-learning

Last synced: 10 Mar 2026

https://github.com/bramucas/xclingo2

A tool for explainability and debugging in Answer Set Programming.

answer-set-programming debugging-tool explainability logic-programming

Last synced: 02 Apr 2026

https://github.com/kohlerhector/interpreter-py

Implementation of Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning (Kohler, Delfosse, et. al. 2024).

code-generation explainability explainable-ai imitation-learning interpretability mujoco program-generation programmatic reinforcement-learning

Last synced: 09 Mar 2026

https://github.com/sbobek/lux

Local Universal Rule-based Explanations

counterfactual-explanations explainability explainable-artificial-intelligence interpretability local-explanations model-agnostic-explanations rule-based-explanations

Last synced: 12 Jan 2026

https://github.com/basics-lab/spectral-explain

Fast XAI with interactions at large scale. SPEX can help you understand the output of your LLM, even if you have a long context!

explainability explainable-ai llm-interpretability shap sparse-transformer xai

Last synced: 17 Mar 2026

https://github.com/prclibo/ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

counterfactual-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml face-editing face-generation face-manipulation gan interpretability interpretable-ai interpretable-deep-learning pytorch stylegan2

Last synced: 19 Jan 2026

https://github.com/chinefed/convolutional-set-transformer

Official implementation of the Convolutional Set Transformer (Chinello & Boracchi, 2025). This repository includes the source code of the cstmodels Python package, which provides reusable Keras 3 layers for constructing CST architectures, together with an interface to load and use the CST-15 model pre-trained on ImageNet.

anomaly-detection computer-vision convolutional-set-transformer deep-learning explainability image-classification set-learning transfer-learning

Last synced: 14 Jan 2026

https://github.com/alshedivat/cen

Contextual Explanation Networks (CEN).

deep-learning explainability interpretability keras machine-learning tensorflow

Last synced: 07 May 2025

https://github.com/warisgill/tracefl

TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients responsible for global model predictions, achieving 99% accuracy across diverse datasets (e.g., medical imaging) and neural networks (e.g., GPT).

accountability debugging differential-privacy explainability explainable-ai federated-learning interpretability interpretability-and-explainability machine-learning software-engineering testing

Last synced: 26 Jun 2025

https://github.com/andreabac3/study-transfer-learning-covid-19

This repository contains the official code of the research paper Study on transfer learning capabilities for pneumonia classification in chest-x-rays images pubblished at the Computer Methods and Programs in Biomedicine Journal.

computer-vision covid cv explainability explainable-ai pytorch pytorch-lightning torch

Last synced: 09 Nov 2025

https://github.com/bgreenwell/statlingua

Explain Statistical Output with Large Language Models

data-science explainability large-language-models llm llms statistics teaching-tools

Last synced: 28 Feb 2026

https://github.com/avoss84/bayes-anomaly

A Python library for explainable Bayesian Anomaly Detection

anomaly-detection bayesian-inference explainability unsupervised-machine-learning

Last synced: 10 Apr 2025

https://github.com/AVoss84/bayes-anomaly

A Python library for explainable Bayesian Anomaly Detection

anomaly-detection bayesian-inference explainability unsupervised-machine-learning

Last synced: 12 Apr 2025

https://github.com/laminetourelab/explainable-ai

In this repository you will fine explainability of machine learning models.

explainability explainable-ai explainable-ml explainerdashboard interpretability lime machine-learning model shap shapash shapely shapley shapley-additive-explanations

Last synced: 25 Jan 2026

https://github.com/kiegroup/trusty-ai-sandbox

A sandbox repository for the Trusty AI team

dmn explainability hacktoberfest kogito trustyai

Last synced: 27 Dec 2025

https://github.com/csinva/transformation-importance

Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" 🌌 (ICLR Workshop 2020)

ai artificial-intelligence attribution data-science deep-learning deep-neural-networks explainability explainable-ai feature-engineering feature-importance frequency-domain interpretability interpretation machine-learning ml neural-network pytorch transform transformation wavelet-analysis

Last synced: 08 May 2025

https://github.com/cifkao/context-probing

Black-box language model explanation by context length probing

acl2023 explainability transformers

Last synced: 15 Apr 2025

https://github.com/aimaster-dev/default_loan_prediction

This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.

automation banking-applications classification credit-risk explainability finance fintech flask fraud-detection lightgbm loan-prediction loan-prediction-analysis model-interpretability roc-auc shap sklearn vuejs xgboost