Search Results for "cuda machine learning"

HLearn is a Haskell-based machine learning library focused on composability, algebraic structure, and performance. It provides a functional approach to building machine learning algorithms by leveraging algebraic properties such as monoids and groups. This allows for parallel, incremental, and distributed computation in a mathematically consistent way. HLearn aims to provide implementations of common algorithms like k-means, naive Bayes, and others while maintaining the expressiveness and safety of the Haskell language.

Procreator is a framework for genetic programming written in Haskell. Procreator generates fully typed programs. This will allow for more effective crossover and for better compilation of the generated programs.