#计算机科学#A game theoretic approach to explain the output of any machine learning model.
翻译 - 一种解释任何机器学习模型输出的博弈论方法。
#Awesome#A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
翻译 - 精选的优秀开源库列表,用于部署,监视,版本化和扩展您的机器学习
#计算机科学#Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
翻译 - 在Pytorch中为CNN和视觉变压器实现了许多类激活图方法。包括Grad-CAM,Grad-CAM ++,Score-CAM,Ablation-CAM和XGrad-CAM
#计算机科学#Fit interpretable models. Explain blackbox machine learning.
翻译 - 拟合可解释的模型。说明黑匣子机器学习。
Model interpretability and understanding for PyTorch
翻译 - PyTorch的模型可解释性和理解
#计算机科学#A collection of infrastructure and tools for research in neural network interpretability.
#Awesome#A curated list of awesome responsible machine learning resources.
#计算机科学#StellarGraph - Machine Learning on Graphs
翻译 - StellarGraph-图上的机器学习
#计算机科学#🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
翻译 - Shapash使机器学习模型透明且每个人都可以理解
#计算机科学#Algorithms for explaining machine learning models
翻译 - 监视和解释机器学习模型的算法
#计算机科学#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)
#计算机科学#FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
A JAX research toolkit for building, editing, and visualizing neural networks.
#计算机科学#[ICCV 2017] Torch code for Grad-CAM
#计算机科学#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 libr...
A collection of research materials on explainable AI/ML
Stanford NLP Python library for Representation Finetuning (ReFT)
#计算机科学#Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
#计算机科学#moDel Agnostic Language for Exploration and eXplanation
#自然语言处理#Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
翻译 - 模型可解释性,可与🤗变压器无缝配合。仅用两行代码来说明您的变压器模型。