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The wiki contains introduction information and guides on how to use SharpLearning:

• Getting started: How to install and use SharpLearning.
• Introduction to SharpLearning: Introduction to reading data, learning, evaluating and saving/loading machine learning models using SharpLearning.
• Hyperparameter Tuning: Guide on how to use an optimizer to tune the hyperparameters of a machine learning algorithm.
• Neural Nets: Short introduction to using neural nets in SharpLearning.
• Using SharpLearning.XGBoost: SharpLearning.XGBoost has a native dependency on the xgboost library, this guide shows best practices on how to use models with native dependencies and how to train using GPU.