explainability

10 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

A game theoretic approach to explain the output of any machine learning model.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Fit interpretable models. Explain blackbox machine learning.

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

Interactive architecture diagrams for codebases

Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization,…

responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user…

Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting…

[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Interpretable Causal Diffusion Language Models

🔗 Familias relacionadas

interpretability 27 explainable-ai 23 explainable-ml 12 visualization 80 gradient-boosting 10 responsible-ai 12 transparency 4 vision-transformer 39

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.