interpretable-ml 开源项目推荐（210 个）

interpretml /interpret

适合可解释的模型。解释黑匣子机器学习。

meta-pytorch /captum

Model interpretability and understanding for PyTorch

astroautomata /PySR

Symbolic Learning in Python and Julia

jphall663 /awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

CSAILVision /gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

dswah /pyGAM

[CONTRIBUTORS WELCOME] Python中的广义加法模型

lopusz /awesome-interpretable-machine-learning

该项目在 GitHub 上没有填写描述

astroautomata /SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

jphall663 /interpretable_machine_learning_with_python

用于训练可解释机器学习模型、解释机器学习模型，以及调试机器学习模型以提升准确性、减少歧视并增强安全性的技术示例。

h2oai /mli-resources

H2O.ai 机器学习可解释性资源

sergioburdisso /pyss3

A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI

chr5tphr /zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

fzi-forschungszentrum-informatik /TSInterpret

An Open-Source Library for the interpretability of time series classifiers

12wang3 /rrl

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

ModelOriented /survex

Explainable Machine Learning in Survival Analysis

xiyanghu /OSDT

Optimal Sparse Decision Trees

M-Nauta /PIPNet

PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

deep-symbolic-mathematics /TPSR

[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"

yanzheb /explainable-reinforcement-learning

The most comprehensive XRL paper list: 277 papers (2016–2026) on interpretable and explainable RL. Surveys, saliency, counterfactuals, policy summarization and more.

BirkhoffG /Explainable-ML-Papers

A list of research papers of explainable machine learning.