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28 search results found

Interpret ⭐ 5,992

Fit interpretable models. Explain blackbox machine learning.

Captum ⭐ 4,393

Model interpretability and understanding for PyTorch

Awesome Machine Learning Interpretability ⭐ 3,241

A curated list of awesome responsible machine learning resources.

Gandissect ⭐ 1,770

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

High-Performance Symbolic Regression in Python and Julia

Awesome Interpretable Machine Learning ⭐ 856

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Symbolicregression.jl ⭐ 484

Distributed High-Performance Symbolic Regression in Julia

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

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

Optimal Sparse Decision Trees

Tsinterpret ⭐ 83

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

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"

Explainable Machine Learning in Survival Analysis

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

Diabetes_use_case ⭐ 19

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

Pytorch Lattice ⭐ 18

A PyTorch implementation of constrained optimization and modeling techniques

Interpretable Ml ⭐ 17

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Genetic programming method for explaining complex black-box models

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

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.

Visual Vocab ⭐ 11

Pytorch-based tools for constructing a vocabulary of visual concepts in a GAN.

Imlplots ⭐ 11

Create Interpretable Machine Learning plots with an interactive Shiny based dashboard

Article Information 2019 ⭐ 10

Article for Special Edition of Information: Machine Learning with Python

Jsm_2018_paper ⭐ 8

Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlinepro

Explainable Ml Papers ⭐ 5

A list of research papers of explainable machine learning.

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