#

interpretable-ml

Here are 54 public repositories matching this topic...

interpretml / interpret

Fit interpretable models. Explain blackbox machine learning.

machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability interpretml

Updated Nov 22, 2024
C

pytorch / captum

Model interpretability and understanding for PyTorch

interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Updated Nov 21, 2024
Python

jphall663 / awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Updated Nov 13, 2024

PySR

MilesCranmer / PySR

High-Performance Symbolic Regression in Python and Julia

python distributed-systems data-science machine-learning algorithm julia genetic-algorithm scikit-learn symbolic symbolic-regression evolutionary-algorithms automl interpretable-ml explainable-ai equation-discovery

Updated Nov 21, 2024
Python

CSAILVision / gandissect

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

deep-learning pytorch generative-adversarial-network gan image-manipulation interactive-visualizations interpretable-ml

Updated May 23, 2021
Python

lopusz / awesome-interpretable-machine-learning

data-science machine-learning interpretable-ai interpretable-ml explainable-ai xai interpretable-machine-learning

Updated Mar 19, 2023
Python

jphall663 / interpretable_machine_learning_with_python

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

Updated Jun 17, 2024
Jupyter Notebook

SymbolicRegression.jl

MilesCranmer / SymbolicRegression.jl

Distributed High-Performance Symbolic Regression in Julia

distributed-systems data-science machine-learning julia genetic-algorithm symbolic symbolic-regression evolutionary-algorithms symbolic-computation automl interpretable-ml explainable-ai sciml equation-discovery

Updated Nov 20, 2024
Julia

h2oai / mli-resources

H2O.ai Machine Learning Interpretability Resources

Updated Dec 12, 2020
Jupyter Notebook

pyss3

sergioburdisso / pyss3

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

nlp machine-learning natural-language-processing text-mining data-mining text-classification machine-learning-algorithms artificial-intelligence document-classification sentence-classification interpretability multilabel-classification explainable-artificial-intelligence interpretable-ml xai interpretable-machine-learning document-categorization early-classification text-labeling ss3-classifier

Updated Aug 18, 2023
Python

chr5tphr / zennit

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

python machine-learning deep-learning attribution pytorch interpretability interpretable-ai interpretable-ml explainable-ai xai lrp explainability feature-attribution

Updated Jul 19, 2024
Python

fzi-forschungszentrum-informatik / TSInterpret

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

time-series interpretability explainable-artificial-intelligence interpretable-ml explainable-ai explainable-ml interpretable-machine-learning counterfactual-explanations feature-attribution

Updated Nov 21, 2024
Python

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"

scalability representation-learning nips interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability neurips interpretable-classification rule-based-model neuro-symbolic-ai

Updated Mar 12, 2024
Python

survex

ModelOriented / survex

Explainable Machine Learning in Survival Analysis

Updated Jun 15, 2024
R

xiyanghu / OSDT

Optimal Sparse Decision Trees

python data-science machine-learning data-mining algorithm python3 accelerate interpretable-ml algorithm-optimization neurips ml-system mlsys acceleration-model

Updated Apr 27, 2023
Python

M-Nauta / PIPNet

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

concepts pytorch image-classification transparency prototypes explainable-artificial-intelligence interpretable-deep-learning interpretable-ml explainable-ai disentangled-representations xai interpretable-machine-learning prototypical-learning cvpr2023 part-prototypes

Updated Feb 22, 2024
Python

deep-symbolic-mathematics / TPSR

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

deep-learning transformers symbolic-regression language-model symbolic-math planning-algorithms interpretable-ml equation-discovery ai4science ai4math

Updated Nov 4, 2024
Python

willbakst / pytorch-lattice

A PyTorch implementation of constrained optimization and modeling techniques

constrained-optimization interpretable-ai interpretable-ml explainable-ai explainable-ml shape-constraints

Updated May 10, 2024
Python

jphall663 / diabetes_use_case

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

python data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

Updated Jun 17, 2024
Jupyter Notebook

BirkhoffG / Explainable-ML-Papers

A list of research papers of explainable machine learning.

machine-learning awesome research paper academic survey human-in-the-loop interpretability human-in-the-loop-machine-learning explanations interpretable-ml explainable-ml xai explainability counterfactual-explanations interpretable-models recourse trustworthy-machine-learning human-ai-interaction

Updated Jun 25, 2021

Improve this page

Add a description, image, and links to the interpretable-ml topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the interpretable-ml topic, visit your repo's landing page and select "manage topics."