TensorFlow, PyTorch, and Keras enable advanced deep learning applications. Scikit-learn, XGBoost, and LightGBM handle structured data efficiently. LangChain, Ollama, and Anthropic SDK support advanced ...

This repository is associated with interpretable liquefaction potential assessment model. This model is developed by using XGBoost and SHAP. The CPT database was used to developed the model. This CPT ...

Potassium is a critical macronutrient for plant growth, yet accurately and rapidly estimating its content in karst regions remains challenging due to complex terrestrial conditions. To address this, ...

The Internet of Things (IoT) consists of several smart devices equipped with computing, sensing, and network capabilities, which enable them to collect and exchange heterogeneous data wirelessly. The ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...