#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
#Awesome#A curated list of awesome responsible machine learning resources.
A collection of research materials on explainable AI/ML
#计算机科学#Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
#计算机科学#H2O.ai Machine Learning Interpretability Resources
#计算机科学#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 @ ms...
#计算机科学#Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
#计算机科学#PyTorch Explain: Interpretable Deep Learning in Python.
#计算机科学#Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, pro...
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...
Explainable AI in Julia.
#计算机科学#Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
All about explainable AI, algorithmic fairness and more
#计算机科学#Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
#Awesome#A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Resp...
#计算机科学#Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
#自然语言处理#XAI based human-in-the-loop framework for automatic rule-learning.