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To predict the rating of a developer using various data captured during an online test
Statsmodels: statistical modeling and econometrics in Python
? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Curso de Introducción a Machine Learning con Python
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...
The repository provides usefull python scripts for ML and data analysis
Pytorch Implementation of recent visual attribution methods for model interpretability
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
A Python library for moderation, mediation and conditional process analysis.