explainable-ai

#自然语言处理#Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

#计算机科学#Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

#计算机科学#Fit interpretable models. Explain blackbox machine learning.

#计算机科学#Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

#计算机科学#Debugging, monitoring and visualization for Python Machine Learning and Data Science

#算法刷题#High-Performance Symbolic Regression in Python and Julia

#自然语言处理#The Self-Coding System for Your App — Alan AI SDK for Web

#Awesome#A collection of research papers and software related to explainability in graph machine learning.

#计算机科学#Interpretability and explainability of data and machine learning models

#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

#计算机科学#Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

#计算机科学#Generate Diverse Counterfactual Explanations for any machine learning model.

#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.

#计算机科学#XAI - An eXplainability toolbox for machine learning

#计算机科学#Explainability for Vision Transformers

#人脸识别#ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support ...

#计算机科学#OmniXAI: A Library for eXplainable AI

#Awesome#A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.