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interpretable-ai

Here are 99 public repositories matching this topic...

DataThomas / project-fairness-interpretability

The aim of the project is to apply different global, local and performance interpretability methods as well as model fairness evaluations to a dataset with protected attributes. The dataset regards traffic violations in Montgomery, Maryland, USA. This is a fork of a group project of my Data Science for Business Master's Degree at HEC Paris.

protected-attributes interpretable-ai interpretable-machine-learning fairness-ai fairness-ml traffic-violation

Updated Nov 10, 2023
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lorarjohns / explainable-machine-learning

explainable and interpretable methods for AI and data science

interpretable-ai interpretable-ml explainable-ai explainable-ml

Updated May 2, 2020
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naotoo1 / sofes

A python project for prototype-based soft feature selection

python machine-learning feature-selection interpretable-ai lvq prototype-based-models

Updated Mar 5, 2024
Python

LennardZuendorf / thesis-webapp

Webapp/Application implemention of my thesis about XAI and Interpretability of Transformer Models.

gradio mistral interpretable-ai xai shap huggingface llama2 bertviz

Updated Feb 14, 2024
Python

mmuratardag / DS_DictTrans_Sentiment

Comparison of sentiment analysis conducted with a lexicon and rule-based dictionary and state-of-the-art pre-trained language models

nlp sentiment-analysis transformers sentiment-polarity bot-detection sentiment-classification interpretable-ai explainable-ai

Updated Sep 8, 2022
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naotoo1 / bcd-flaskflasgger

An end-to-end implementation of Breast Cancer Detection using prosemble ML package within the Flask framework and Flasgger dockerized for deployment

python flask machine-learning flasgger interpretable-ai prosemble

Updated Jun 13, 2022
Python

kb-open / CROMP

The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline

interpretable-ai constrained-regression multiple-linear-regression prior-knowledge operationalizing-machine-learning wage-model cromp

Updated Dec 1, 2022
Python

parantapa / integrated-directional-gradients

Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.

interpretability feature-importance interpretable-ai interpretable-ml feature-attribution

Updated Aug 25, 2021
Python

CLIAgroup / TesNet

ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)

image-classification explainable-artificial-intelligence interpretable-deep-learning interpretable-ai xai interpretable-machine-learning

Updated Mar 28, 2024
Python

CursedSeraphim / NAM-torch

A simple implementation of the Neural Additive Model by Agarwal et al. in PyTorch.

machine-learning iris-dataset interpretable-ai explainable-ai xai interpretable-machine-learning

Updated Apr 10, 2023
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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

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
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ashwinkolhatkar / XAI-Blockchain

B.Tech Project

blockchain college-project interpretable-ai xai interpretable-machine-learning

Updated May 9, 2020
Python

HwangJaeYoung / AI-Trustworthy

Interpretable AI research

interpretable-ai trustworthy-ai

Updated Nov 12, 2022
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matgege / nam-visualization

Neural Additive Models - Visualization Tool in PyTorch/Plotly-Dash

machine-learning interpretable-ai explainable-ai explainable-ml xai plotly-dash interpretable-machine-learning responsible-ai trustworthy-ai

Updated Mar 3, 2023
Python

naotoo1 / Multiple-Reject-Classification-Options

Prototype based ML implementation for Multiple reject thresholds for improving classification reliability

python machine-learning deep-learning classification interpretable-ai lvq

Updated Sep 18, 2022
Python

alfreddLUO / FYP_Codes

Final Year Project Try-Out Codes

computer-vision image-classification hidden-markov-model saliency-map interpretable-ai xai resne

Updated Apr 15, 2024
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matteobrv / ma_thesis

Understanding Morphosyntactic Representations in Pretrained Language Models.

nlp interpretable-ai explainable-ai explainable-ml interpretable-machine-learning probing-task large-language-models llms

Updated Mar 2, 2024
Python

willbakst / pytorch-lattice

A PyTorch implementation of constrained optimization and modeling techniques

constrained-optimization interpretable-ai interpretable-ml explainable-ai explainable-ml shape-constraints

Updated May 10, 2024
Python

lisette-espin / PovertyMaps

Interpreting wealth distribution via poverty map inference using multimodal data

infrastructure machine-learning deep-learning mean satellite-imagery demographics mobility cnn-model online-data open-street-map poverty-estimates interpretable-ai explainable-ai antennas catboost-model stddev catboostregressor crowdsourced-data

Updated Feb 28, 2024
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