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interpretability

Here are 615 public repositories matching this topic...

tsurubee / shappack

Interpretable machine learning based on Shapley values

interpretability xai shapley interpretable-machine-learning shap explainability shapley-value

Updated Jul 20, 2021
Python

sakshikakde / interpretability_of_lstm

A repository to study the interpretability of time series networks(LSTM)

deep-learning pytorch lstm deep-learning-tutorial kth lstm-neural-networks video-classification interpretability lstm-neural-network interpretability-methods

Updated Jan 6, 2022
Python

deep_classiflie

speediedan / deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…

Updated Aug 22, 2023
Python

bhigy / discrete-repr

Accompanying code for the paper "Discrete representations in neural models of spoken language" (https://aclanthology.org/2021.blackboxnlp-1.11)

deep-learning pytorch unsupervised-learning speech-processing interpretability discrete-representations

Updated Feb 17, 2022
Python

csinva / imodels-playground

Demos for visualizing how rule-based models work.

rules data-science machine-learning ai interpretability xai imodels

Updated Dec 17, 2021
TypeScript

zilaeric / othello-gpt-probing

Training and exploration of linear probes into Othello-GPT by Li et al. (2022)

probe othello gpt interpretability explainability transformerlens

Updated Jun 29, 2023
Jupyter Notebook

SDM-TIB / InterpretME_Demo

Demonstration of InterpretME, an interpretable machine learning pipeline

interpretability machine-learning-models machine-learning-interpretability

Updated Feb 5, 2024
Jupyter Notebook

causality-for-trustworthy-ai

L3S / causality-for-trustworthy-ai

📚 Curated list for Causality and AI

Updated Sep 12, 2023

sentspace / sentspace

a module to obtain diverse real-world-grounded features for sentences for large-scale benchmarking

cognitive-science natural psycholinguistics interpretability interpretable-deep-learning neuroscie

Updated Aug 10, 2023
Python

OptimizingMind / optimizingmind.github.io

Optimizing Mind static website v1

machine-learning ai machine-learning-algorithms ml artificial-intelligence artificial-neural-networks artificial-general-intelligence machinelearning machine-learning-api artificial-neural-network machine-intelligence artificial-intelligence-algorithms interpretability artifical-intelligense explainable-artificial-intelligence illuminated-ai interpretable-ai interpretable-ml explainable-ai explainable-ml

Updated Oct 4, 2018
HTML

SalvatoreRa / CNNscan

A CT-scan of your CNN

machine-learning ai computer-vision cnn pytorch artificial-intelligence filters convolutional-neural-networks pretrained-models convolutional-neural-network interpretability feature-map gradcam interpretable-machine-learning gradcam-visualization

Updated Mar 27, 2023
Python

CeciPani / MARLENA

A python library to agnostically explain multi-label black-box classifiers (tabular data)

python3 explanation interpretability multilabel multilabel-classification explainable-artificial-intelligence interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning explainability multilabel-model xai-library

Updated Dec 8, 2022
Jupyter Notebook

Zarharan / NLP-Transformers-Interpretability

The purpose of this repository is to demonstrate how to use NLP explanation/interpretability tools.

nlp machine-learning natural-language-processing deep-learning transformers explanation interpretability stance-detection

Updated Jul 7, 2022
Python

oublalkhalid / TAB-VAE

Temporal Attention Bottleneck for VAE is informative? (ICML 2023)

pytorch generative-model interpretability disentangled-representations

Updated Jun 20, 2023
Python

JoranMichiels / decomposition-shap

Explain model and feature dependencies by decomposition of SHAP values

machine-learning interpretability explainability shapley-value

Updated Apr 18, 2024
Python

hmcalister / Tensorflow-Intepretability-Project

An investigation into sequential learning of tasks using feed-forward networks built with Tensorflow

visualization deep-learning tensorflow interpretability sequential-learning catastrophic-forgetting elastic-weight-consolidation interpretable-machine-learning

Updated Jan 17, 2023
Jupyter Notebook

pyartemis / artemis

A Python package with explanation methods for extraction of feature interactions from predictive models

data-science machine-learning predictive-modeling interpretability explainable-ai explainable-ml xai interpretable-machine-learning iml explainability xai-library explanatory-model-analysis

Updated Nov 18, 2023
Jupyter Notebook

richoux / LearningErrorFunctions

Interpretable Error Function learning

machine-learning modeling constraint-programming interpretability

Updated Mar 1, 2023
C++

jitinkrishnan / Crisis-Tweet-Multi-Task-DA

Aims to help emergency responders during crises (ASONAM '20)

attention-mechanism interpretability crisis-management unsupervised-domain-adaptation text-classificaiton

Updated Oct 29, 2020
Jupyter Notebook

ashok-arjun / CNN-Explainer

Techniques for interpreting ConvNets

deep-learning convolutional-neural-networks interpretability convnets

Updated Dec 21, 2020
Python

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