GitHub

Gradient Boosting Reinforcement Learning (GBRL)

GBRL is a Python-based Gradient Boosting Trees (GBT) library, similar to popular packages such as XGBoost, CatBoost, but specifically designed and optimized for reinforcement learning (RL). GBRL is ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
note

[Student Category 1st Place] Looking Back at the SIGNATE SMBC Group GREEN×DATA Challenge 2025

Model ① CatBoost alone RMSE: 9.70 First, after performing the feature engineering described in the previous section, I trained CatBoost alone, but the score was RMSE=9.70, which was not as good as I ...
GitHub

Trusted-AI/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART is hosted by the Linux Foundation AI & Data Foundation (LF AI & Data). ART provides tools that enable ...
C&EN

Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water ...

In this study, we introduce the count-based Morgan fingerprint (C-MF) to represent chemical structures of contaminants and develop machine learning (ML)-based predictive models for their activities ...