#explainable-ai (19 Repositories)
Ranked open-source repositories tagged with #explainable-ai, scored by pull request acceptance likelihood and maintainer engagement velocity.
31.4%
33.4h
19 repositories tagged #explainable-ai
trustgraph-ai/trustgraph
The Semantic Intelligence Layer for Ontologies
semantica-agi/semantica
Graph-Native Infrastructure for Context and Accountable AI Systems
rentruewang/aioway
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
Julia-XAI/ExplainableAI.jl
Explainable AI in Julia.
inseq-team/inseq
Interpretability for sequence generation models 🐛 🔍
FOR-sight-ai/interpreto
🪄 Interpreto is an interpretability toolbox for LLMs
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
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.
alexgreensh/attention-span
Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
astroautomata/PySR
Symbolic Learning in Python and Julia
lynote-ai/ai-text-detector
A cautious, explainable AI-like text risk analyzer for local workflows and coding agents.
ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
lopusz/awesome-interpretable-machine-learning
DmitryRyumin/ICCV-2023-25-Papers
ICCV 2023-2025 Papers: Discover cutting-edge research from ICCV 2023-25, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
JuliaTrustworthyAI/CounterfactualExplanations.jl
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
kserve/website
User documentation for KServe.