17 results found Sort:

interpretml
interpret interpretml
717
6.1k
mit
143
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
3,158 commits to develop branch, last one 20 hours ago
pytorch
captum pytorch
469
4.6k
bsd-3-clause
245
Model interpretability and understanding for PyTorch
interpretability interpretable-ai interpretable-ml feature-importance feature-attribution
Created 2019-08-27
1,092 commits to master branch, last one 13 hours ago
jphall663
awesome-machine-learning-interpretability jphall663
578
3.5k
cc0-1.0
131
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
1,043 commits to master branch, last one a day ago
MilesCranmer
PySR MilesCranmer
195
2.0k
apache-2.0
26
High-Performance Symbolic Regression in Python and Julia
julia numpy 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
2,269 commits to master branch, last one 11 days ago
CSAILVision
gandissect CSAILVision
283
1.8k
mit
75
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 3 years ago
lopusz
awesome-interpretable-machine-learning lopusz
141
903
unknown
55
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 3 years ago
jphall663
interpretable_machine_learning_with_python jphall663
207
663
unknown
43
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
63
547
apache-2.0
14
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
2,515 commits to master branch, last one 25 days ago
sergioburdisso
pyss3 sergioburdisso
44
331
mit
20
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 9 months ago
chr5tphr
zennit chr5tphr
32
178
other
14
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 about a month ago
fzi-forschungszentrum-informatik
TSInterpret fzi-forschungszentrum-informatik
8
104
bsd-3-clause
3
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
449 commits to main branch, last one about a month ago
xiyanghu
OSDT xiyanghu
11
96
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
23
91
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 2 months ago
ModelOriented
survex ModelOriented
10
89
gpl-3.0
7
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
479 commits to main branch, last one about a month ago
M-Nauta
PIPNet M-Nauta
16
54
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 3 months ago
deep-symbolic-mathematics
TPSR deep-symbolic-mathematics
7
36
mit
4
[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
75 commits to main branch, last one 4 months ago
willbakst
pytorch-lattice willbakst
0
25
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 21 days ago