OmniXAI作为Salesforce推出的一款开源可解释人工智能库,为AI技术的发展注入了新的活力。通过提供强大的可解释性能力和直观的可视化界面,OmniXAI不仅降低了AI技术的使用门槛,还增强了用户对AI决策的信任。随着AI技术的不断发展和普及,OmniXAI必将在各个领域发挥更加重要的作用,推动AI技术向更加透明、可靠和智能的方向发展。
import json import torch from torchvision import models, transforms from PIL import Image as PilImage from omnixai.data.image import Image from omnixai.explainers.vision.specific.gradcam.pytorch.gradcam import GradCAM We recommend using Image to represent a batch of images. Image can be constructe...
We introduce OmniXAI (short for Omni eXplainable AI), an open-source Python library of eXplainable AI (XAI), which offers omni-way explainable AI capabilities and various interpretable machine learning techniques to address the pain points of understanding and interpreting the decisions made by machin...
OmniXAI aims to be a one-stop comprehensive library that makes explainable AI easy for data scientists, ML researchers and practitioners who need explanation for various types of data, models and explanation methods at different stages of ML process: ...
Explaining the machine learning model with OmniXAI “Explainability” is a need and expectation that increases the transparency of the intrinsic AI model’s “decision.” Let’s take a closer look at explainable AI objectives. What is the objective of explainable AI (XAI)?