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.

Language: Python - Size: 0 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

frankaging/Causal-Proxy-Model

The Codebase for Causal Proxy Model

Language: Python - Size: 38.2 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 1

tamlhp/awesome-privex

Awesome PrivEx: Privacy-Preserving Explainable AI (PPXAI)

Size: 478 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 22 - Forks: 1

IonBoleac/serve-torch-deployments

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

Language: Python - Size: 12.8 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

awesome-privex/awesome-privex.github.io

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

Language: HTML - Size: 646 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

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: 12 months ago - Pushed at: about 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.

Language: Jupyter Notebook - Size: 7.52 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

ljmdeb/GSTA

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

Language: Jupyter Notebook - Size: 393 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

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: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

rodrigobressan/keras_boston_housing_price

Keras 101: A simple Neural Network for House Pricing regression

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: 15 days ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 5

dmitrykazhdan/concept-based-xai

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

Language: Python - Size: 110 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 42 - Forks: 4

abyanjan/Churn-Prediction-Modeling

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

Language: Jupyter Notebook - Size: 9.63 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dmitrykazhdan/MEME-RNN-XAI

MEME: Generating RNN Model Explanations via Model Extraction

Language: Jupyter Notebook - Size: 5.14 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 2

colbyford/pfHRP_MLModel

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

Language: PostScript - Size: 13.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

tsabsch/goldeneye

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

Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 0

ml-libs/l2x

Language: Python - Size: 8.79 KB - Last synced at: 26 days ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0