17 results found Sort:

interpretml
interpret interpretml
731
6.3k
mit
145
Fit interpretable models. Explain blackbox machine learning.
ai iml xai bias blackbox interpretml scikit-learn transparency explainability explainable-ai explainable-ml interpretability interpretable-ai interpretable-ml machine-learning gradient-boosting differential-privacy artificial-intelligence interpretable-machine-learning
Created 2019-05-03
3,497 commits to develop branch, last one a day ago
pytorch
captum pytorch
499
4.9k
bsd-3-clause
271
Model interpretability and understanding for PyTorch
interpretability interpretable-ai interpretable-ml feature-importance feature-attribution
Created 2019-08-27
1,209 commits to master branch, last one 5 days ago
jphall663
awesome-machine-learning-interpretability jphall663
589
3.7k
cc0-1.0
132
A curated list of awesome responsible machine learning resources.
r xai python awesome fairness ai-safety secure-ml reliable-ai awesome-list data-science transparency explainable-ml interpretability interpretable-ai interpretable-ml machine-learning interpretable-machine-learning privacy-enhancing-technologies machine-learning-interpretability privacy-preserving-machine-learning
Created 2018-06-21
1,165 commits to master branch, last one 7 days ago
MilesCranmer
PySR MilesCranmer
217
2.4k
apache-2.0
32
High-Performance Symbolic Regression in Python and Julia
julia automl python symbolic algorithm data-science scikit-learn explainable-ai interpretable-ml machine-learning genetic-algorithm equation-discovery distributed-systems symbolic-regression evolutionary-algorithms
Created 2020-09-14
2,416 commits to master branch, last one a day ago
CSAILVision
gandissect CSAILVision
281
1.8k
mit
76
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
gan pytorch deep-learning interpretable-ml image-manipulation interactive-visualizations generative-adversarial-network
Created 2018-11-19
35 commits to master branch, last one 4 years ago
lopusz
awesome-interpretable-machine-learning lopusz
139
906
unknown
52
This repository has no description...
xai data-science explainable-ai interpretable-ai interpretable-ml machine-learning interpretable-machine-learning
Created 2017-12-27
86 commits to master branch, last one 4 years ago
jphall663
interpretable_machine_learning_with_python jphall663
207
673
unknown
42
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
h2o iml xai lime fatml python fairness data-mining data-science transparency decision-tree interpretable accountability interpretability interpretable-ai interpretable-ml machine-learning gradient-boosting-machine interpretable-machine-learning machine-learning-interpretability
Created 2018-03-14
169 commits to master branch, last one about a year ago
MilesCranmer
SymbolicRegression.jl MilesCranmer
82
631
apache-2.0
16
Distributed High-Performance Symbolic Regression in Julia
julia sciml automl symbolic data-science explainable-ai interpretable-ml machine-learning genetic-algorithm equation-discovery distributed-systems symbolic-regression symbolic-computation evolutionary-algorithms
Created 2021-01-14
3,131 commits to master branch, last one 23 hours ago
sergioburdisso
pyss3 sergioburdisso
44
336
mit
21
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
nlp xai data-mining text-mining text-labeling ss3-classifier interpretability interpretable-ml machine-learning text-classification early-classification artificial-intelligence document-categorization document-classification sentence-classification multilabel-classification machine-learning-algorithms natural-language-processing interpretable-machine-learning explainable-artificial-intelligence
Created 2019-11-11
402 commits to master branch, last one about a year ago
chr5tphr
zennit chr5tphr
32
202
other
15
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
lrp xai python pytorch attribution deep-learning explainability explainable-ai interpretability interpretable-ai interpretable-ml machine-learning feature-attribution
Created 2020-11-10
232 commits to master branch, last one 7 months ago
fzi-forschungszentrum-informatik
TSInterpret fzi-forschungszentrum-informatik
11
122
bsd-3-clause
4
An Open-Source Library for the interpretability of time series classifiers
time-series explainable-ai explainable-ml interpretability interpretable-ml feature-attribution counterfactual-explanations interpretable-machine-learning explainable-artificial-intelligence
Created 2022-08-15
451 commits to main branch, last one 3 months ago
ModelOriented
survex ModelOriented
10
102
gpl-3.0
8
Explainable Machine Learning in Survival Analysis
r xai shap cox-model r-package brier-scores biostatistics censored-data time-to-event cox-regression explainable-ai explainable-ml interpretable-ml machine-learning survival-analysis variable-importance explanatory-model-analysis explainable-machine-learning interpretable-machine-learning probabilistic-machine-learning
Created 2022-08-31
480 commits to main branch, last one 5 months ago
xiyanghu
OSDT xiyanghu
11
100
mit
6
Optimal Sparse Decision Trees
mlsys python neurips python3 algorithm ml-system accelerate data-mining data-science interpretable-ml machine-learning acceleration-model algorithm-optimization
Created 2019-06-05
28 commits to master branch, last one about a year ago
12wang3
rrl 12wang3
29
100
mit
4
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...
iml xai nips neurips scalability explainability explainable-ai explainable-ml interpretability interpretable-ai interpretable-ml rule-based-model neuro-symbolic-ai representation-learning interpretable-classification interpretable-machine-learning
Created 2021-09-30
10 commits to main branch, last one 8 months ago
M-Nauta
PIPNet M-Nauta
20
60
unknown
2
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
xai pytorch concepts cvpr2023 prototypes transparency explainable-ai part-prototypes interpretable-ml image-classification prototypical-learning interpretable-deep-learning disentangled-representations interpretable-machine-learning explainable-artificial-intelligence
Created 2023-03-24
15 commits to main branch, last one 9 months ago
deep-symbolic-mathematics
TPSR deep-symbolic-mathematics
12
55
mit
5
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
ai4math ai4science transformers deep-learning symbolic-math language-model interpretable-ml equation-discovery planning-algorithms symbolic-regression
Created 2023-10-09
86 commits to main branch, last one 16 days ago
willbakst
pytorch-lattice willbakst
0
28
mit
4
A PyTorch implementation of constrained optimization and modeling techniques
explainable-ai explainable-ml interpretable-ai interpretable-ml shape-constraints constrained-optimization
Created 2023-11-08
76 commits to main branch, last one 6 months ago