Model interpretability and understanding for PyTorch
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Feb 27, 2025 - Python
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interpretable-ml
Here are 24 public repositories matching this topic...
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
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Feb 25, 2025 - Python
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
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May 23, 2021 - Python
data-science machine-learning interpretable-ai interpretable-ml explainable-ai xai interpretable-machine-learning
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Mar 19, 2023 - Python
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI 
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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
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Jan 13, 2025 - Python
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
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Jul 19, 2024 - Python
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
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Nov 26, 2024 - Python
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
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Mar 12, 2024 - Python
Optimal Sparse Decision Trees
python data-science machine-learning data-mining algorithm python3 accelerate interpretable-ml algorithm-optimization neurips ml-system mlsys acceleration-model
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Apr 27, 2023 - Python
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
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Feb 22, 2024 - Python
[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
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Nov 4, 2024 - Python
A PyTorch implementation of constrained optimization and modeling techniques
constrained-optimization interpretable-ai interpretable-ml explainable-ai explainable-ml shape-constraints
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May 10, 2024 - Python
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml
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Mar 10, 2024 - Python
Genetic programming method for explaining complex black-box models
interpretable-deep-learning interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning
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Jun 17, 2024 - Python
Concept activation vectors for Keras
interpretability explainable-artificial-intelligence interpretable-deep-learning interpretable-ai interpretable-ml explainable-ai explainable-ml interpretable-machine-learning explainability
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Mar 24, 2023 - Python
Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.
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Aug 25, 2021 - Python
This repository contains an implementation of DISC, an algorithm for learning DFAs for multiclass sequence classification.
dfa sequence-classification interpretable-ai interpretable-ml dfa-construction early-detection interpretable-machine-learning automata-learning
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Feb 24, 2021 - Python
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
genetic-algorithm interpretable-ai interpretable-ml explainable-ai explainable-ml interpretable-machine-learning counterfactual-explanations counterfactuals explainable-machine-learning
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Jan 5, 2023 - Python
Investigate BERT on Non-linearity and Layer Commutativity
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Dec 8, 2022 - Python
Measuring Biases in Masked Language Models for PyTorch Transformers. Support for multiple social biases and evaluation measures.
machine-learning transformers pytorch computational-social-science interpretable-ai interpretable-ml explainable-ai explainable-ml bias-evaluation huggingface masked-language-models masked-language-modeling
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Dec 23, 2024 - Python
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