#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。
#Awesome#A curated list of awesome responsible machine learning resources.
#计算机科学#Debugging, monitoring and visualization for Python Machine Learning and Data Science
翻译 - Python机器学习和数据科学的调试,监视和可视化
#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
#大语言模型#Evaluation and Tracking for LLM Experiments
#Awesome#A collection of research papers and software related to explainability in graph machine learning.
翻译 - 与图机器学习中的可解释性相关的研究论文和软件的集合。
#计算机科学#A library for graph deep learning research
翻译 - 图深度学习研究库
#计算机科学#Interpretability and explainability of data and machine learning models
翻译 - 数据和机器学习模型的可解释性和可解释性
#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...
#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
#计算机科学#Generate Diverse Counterfactual Explanations for any machine learning model.
翻译 - 为任何机器学习模型生成多样的反事实解释。
#计算机科学#XAI - An eXplainability toolbox for machine learning
#计算机科学#OmniXAI: A Library for eXplainable AI
👋 Xplique is a Neural Networks Explainability Toolbox
#计算机科学#💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
#自然语言处理#Examples of Data Science projects and Artificial Intelligence use-cases
#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...