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Search results for python interpretable ml
interpretable-ml
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19 search results found
Captum
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4,393
Model interpretability and understanding for PyTorch
Awesome Machine Learning Interpretability
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3,241
A curated list of awesome responsible machine learning resources.
Pysr
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1,580
High-Performance Symbolic Regression in Python and Julia
Awesome Interpretable Machine Learning
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856
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Mli Resources
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405
H2O.ai Machine Learning Interpretability Resources
Pyss3
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307
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
Zennit
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151
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Osdt
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85
Optimal Sparse Decision Trees
Tsinterpret
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83
An Open-Source Library for the interpretability of time series classifiers
Rrl
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82
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"
Tpsr
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25
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
Diabetes_use_case
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19
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
Pytorch Lattice
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18
A PyTorch implementation of constrained optimization and modeling techniques
Interpretable Ml
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17
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Pipnet
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15
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Mllp
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12
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
Article Information 2019
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10
Article for Special Edition of Information: Machine Learning with Python
Jsm_2018_paper
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8
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlinepro
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