chong-z/tree-ensemble-attack

[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"

Language: C++ - Size: 17 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 7

felipesbonatti/Analise-de-Risco-de-Credito

Solução end-to-end para predição de inadimplência, desde feature engineering até API REST em produção. Redução de 25% em perdas financeiras com modelos explicáveis (SHAP/XGBoost).

Language: Python - Size: 96.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mwburke/xgboost-python-deploy

Deploy XGBoost trained models in pure python

Language: Python - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 3

vishesh-sarinDXB/CD38_Predictor

Language: Jupyter Notebook - Size: 64 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

amarion35/partenarial_explainer

An interpretability method for XGBoost and fault detection models

Language: Jupyter Notebook - Size: 266 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0