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集合主题趋势排行榜
#

interpretable-ml

Website
Wikipedia
https://static.github-zh.com/github_avatars/interpretml?size=40
interpretml / interpret

#计算机科学#Fit interpretable models. Explain blackbox machine learning.

机器学习interpretabilitygradient-boostingblackboxscikit-learnxaiinterpretmlinterpretable-machine-learninginterpretable-aitransparencyinterpretable-mlexplainable-mlexplainabilitybias人工智能explainable-aidifferential-privacy
C++ 6.53 k
6 天前
https://static.github-zh.com/github_avatars/pytorch?size=40
pytorch / captum

Model interpretability and understanding for PyTorch

interpretabilityinterpretable-aiinterpretable-mlfeature-importancefeature-attribution
Python 5.26 k
2 天前
https://static.github-zh.com/github_avatars/jphall663?size=40
jphall663 / awesome-machine-learning-interpretability

#Awesome#A curated list of awesome responsible machine learning resources.

fairnessxaiinterpretabilitytransparency机器学习数据科学PythonRAwesome Listsmachine-learning-interpretabilityinterpretable-machine-learninginterpretable-mlinterpretable-aiexplainable-mlai-safetyprivacy-enhancing-technologiesprivacy-preserving-machine-learning
3.8 k
5 天前
MilesCranmer/PySR
https://static.github-zh.com/github_avatars/MilesCranmer?size=40
MilesCranmer / PySR

#算法刷题#High-Performance Symbolic Regression in Python and Julia

机器学习PythonJulia 语言genetic-algorithmautomlinterpretable-ml数据科学explainable-aiscikit-learnsymbolic算法distributed-systemsevolutionary-algorithms
Python 2.87 k
3 天前
https://static.github-zh.com/github_avatars/CSAILVision?size=40
CSAILVision / gandissect

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

PyTorchGenerative Adversarial Networkimage-manipulation深度学习interactive-visualizationsinterpretable-ml
Python 1.77 k
4 年前
https://static.github-zh.com/github_avatars/lopusz?size=40
lopusz / awesome-interpretable-machine-learning

#计算机科学#

interpretable-machine-learninginterpretable-mlinterpretable-aixaiexplainable-ai机器学习数据科学
Python 916
2 年前
https://static.github-zh.com/github_avatars/MilesCranmer?size=40
MilesCranmer / SymbolicRegression.jl

#计算机科学#Distributed High-Performance Symbolic Regression in Julia

Julia 语言symbolic-computation机器学习automlscimlinterpretable-ml数据科学distributed-systemsevolutionary-algorithmsexplainable-aigenetic-algorithmsymbolic
Julia 703
1 天前
https://static.github-zh.com/github_avatars/jphall663?size=40
jphall663 / interpretable_machine_learning_with_python

#计算机科学#Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

机器学习Pythonxaigradient-boosting-machinedecision-tree数据科学fairnessinterpretable-machine-learninginterpretabilitymachine-learning-interpretabilitytransparencydata-mininginterpretable-mlinterpretable-ailimeh2o
Jupyter Notebook 681
1 年前
https://static.github-zh.com/github_avatars/h2oai?size=40
h2oai / mli-resources

#计算机科学#H2O.ai Machine Learning Interpretability Resources

机器学习Pythonjupyter-notebooksinterpretability数据科学data-miningh2oxaitransparencyfairnessxgboostmachine-learning-interpretabilityinterpretable-machine-learninginterpretable-mlinterpretable-aiexplainable-ml
Jupyter Notebook 488
5 年前
https://static.github-zh.com/github_avatars/sergioburdisso?size=40
sergioburdisso / pyss3

#自然语言处理#A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

xaitext-classification机器学习人工智能data-mining自然语言处理document-classificationtext-labelingtext-miningsentence-classificationinterpretabilityinterpretable-machine-learninginterpretable-ml
Python 341
10 天前
https://static.github-zh.com/github_avatars/chr5tphr?size=40
chr5tphr / zennit

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

PyTorchxai机器学习explainabilityPythoninterpretabilityexplainable-aiinterpretable-aifeature-attributioninterpretable-ml深度学习
Python 226
1 年前
https://static.github-zh.com/github_avatars/fzi-forschungszentrum-informatik?size=40
fzi-forschungszentrum-informatik / TSInterpret

#时序数据库#An Open-Source Library for the interpretability of time series classifiers

explainable-aiexplainable-mlfeature-attributioninterpretabilityinterpretable-machine-learninginterpretable-mltime-series
Python 134
7 个月前
https://static.github-zh.com/github_avatars/12wang3?size=40
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 Classif...

representation-learningscalabilityinterpretable-aiinterpretable-mlexplainable-aiexplainable-mlneuripsnipsxaiinterpretable-machine-learninginterpretabilityexplainabilityneuro-symbolic-ai
Python 112
1 年前
https://static.github-zh.com/github_avatars/ModelOriented?size=40
ModelOriented / survex

#计算机科学#Explainable Machine Learning in Survival Analysis

explainable-aiexplainable-mlinterpretable-machine-learninginterpretable-ml机器学习shapr-packagexaiR
R 112
1 年前
https://static.github-zh.com/github_avatars/xiyanghu?size=40
xiyanghu / OSDT

#算法刷题#Optimal Sparse Decision Trees

accelerate算法interpretable-ml机器学习neuripsPythondata-mining数据科学mlsys
Python 104
2 年前
https://static.github-zh.com/github_avatars/M-Nauta?size=40
M-Nauta / PIPNet

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

conceptsexplainable-aiimage-classificationinterpretable-machine-learninginterpretable-mlprototypestransparencyxaicvpr2023interpretable-deep-learningPyTorchdisentangled-representations
Python 71
1 年前
https://static.github-zh.com/github_avatars/deep-symbolic-mathematics?size=40
deep-symbolic-mathematics / TPSR

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

深度学习language-modeltransformersinterpretable-mlai4science
Python 70
7 个月前
https://static.github-zh.com/github_avatars/BirkhoffG?size=40
BirkhoffG / Explainable-ML-Papers

#计算机科学#A list of research papers of explainable machine learning.

机器学习xaiBukkitacademicresearchinterpretabilityexplainabilityexplainable-mlinterpretable-mlexplanationssurveyAwesome Listshuman-in-the-loop
36
4 年前
https://static.github-zh.com/github_avatars/willbakst?size=40
willbakst / pytorch-lattice

A PyTorch implementation of constrained optimization and modeling techniques

constrained-optimizationexplainable-aiexplainable-mlinterpretable-aiinterpretable-ml
Python 31
1 年前
https://static.github-zh.com/github_avatars/jphall663?size=40
jphall663 / diabetes_use_case

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

Pythonxgboosthealthcareinterpretabilityxaitransparency机器学习数据科学data-miningmachine-learning-interpretabilityinterpretable-mlinterpretable-machine-learningexplainable-ml
Jupyter Notebook 27
1 年前
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