transparentML

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

所有系统提示都需透明公开

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

[HELP REQUESTED] Generalized Additive Models in Python

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)