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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Code analysis & navigation plugin for Neovim. Navigate codes like a breeze🎐 Exploring LSP and 🌲Treesitter symbols a piece of 🍰 Take control like a boss 🦍

Fast Compiler for C# Expression Trees and the lightweight LightExpression alternative. Diagnostic and code generation tools for the expressions.

  • expression-tree
  • dryioc
  • delegate
  • il-optimizations

Fast sorted collections for Swift using in-memory B-trees

  • btree
  • collection
  • orderedcollection
  • swift

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

  • libgdx
  • pathfinding
  • steering-behaviors
  • formation-motion

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms