ccomkhj/interpretable-lightgbm

SHAP explainer for LightGBM models - Generate feature importance plots, dependence plots, and prediction explanations with one line of code. Make your gradient boosting models interpretable for stakeholders.

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trustworthy-machine-learning/trustworthy-machine-learning.github.io

A School for All Seasons on Trustworthy Machine Learning

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frankaging/Causal-Proxy-Model

The Codebase for Causal Proxy Model

Language: Python - Size: 38.2 MB - Last synced at: 22 days ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 1

tamlhp/awesome-privex

Awesome PrivEx: Privacy-Preserving Explainable AI (PPXAI)

Size: 478 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 22 - Forks: 1

IonBoleac/serve-torch-deployments

A proof-of-concept on how to install and use Torchserve in various mode

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awesome-privex/awesome-privex.github.io

Official Website of https://github.com/tamlhp/awesome-privex

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rgdavies92/salaries-in-data

💷 💵 💶 A ML project containing web scraping, NLP and some classification model evaluation

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mllite/sklearn_explain

Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.

Language: Python - Size: 166 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 5

cedrickchee/anchor Fork of marcotcr/anchor

Code for "High-Precision Model-Agnostic Explanations" paper. A follow up to LIME model.

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ljmdeb/GSTA

Replacing a Black-box model by a Global Single Tree Approximation

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lyj555/MachineLearningProcess

主要包含ModelHelper和NLPHelper，其中ModelHelper主要有特征选择、超参数搜索、模型解释和模型融合等，NLPHelper则是进一步封装了NLP一些常用的操作，常用的网络结构以及几个NLP的任务

Language: Python - Size: 5.66 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

rodrigobressan/keras_boston_housing_price

Keras 101: A simple Neural Network for House Pricing regression

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dmitrykazhdan/concept-based-xai

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

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abyanjan/Churn-Prediction-Modeling

Predicting Churn Probability for Telecom Customers and deploying the prediction model with Streamlit

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dmitrykazhdan/MEME-RNN-XAI

MEME: Generating RNN Model Explanations via Model Extraction

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colbyford/pfHRP_MLModel

Modeling Plasmodium falciparum Diagnostic Test Sensitivity using Machine Learning with Histidine-Rich Protein 2 Variants

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tsabsch/goldeneye

Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.

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ml-libs/l2x

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