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explainability

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

Jupyter Notebook
23743
3 天前

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

Jupyter Notebook
2864
1 个月前

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

Jupyter Notebook
1875
1 年前

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.

TypeScript
1517
2 个月前

[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.

Jupyter Notebook
846
2 年前

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

HTML
740
2 年前

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

Python
619
2 年前

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

Jupyter Notebook
431
8 个月前

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

Jupyter Notebook
412
2 个月前

This is an open-source version of the representation engineering framework for stopping harmful outputs or hallucinations on the level of activations. 100% free, self-hosted and open-source.

Python
327
4 天前

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

Python
288
2 年前