model-interpretability topic

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Hellisotherpeople

Standardized Serverless ML Inference Platform on Kubernetes

kserve

Pytorch Implementation of recent visual attribution methods for model interpretability

yulongwang12

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

yizt

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

rehmanzafar

Overview of different model interpretability libraries.

TannerGilbert

Class Activation Map (CAM) Visualizations in PyTorch.

Tramac

Official repository for the paper "Instance-wise Causal Feature Selection for Model Interpretation" (CVPRW 2021)

pranoy-panda

Tools for easing the handoff between AI/ML and App/SRE teams.

jozu-ai