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TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and deploy Machine Learning models with the Pascal Delphi

AADL model processor: mappings to code (C, Ada); Petri Nets; scheduling tools (MAST, Cheddar); WCET; REAL

  • aadl
  • ada

CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀

Provides a type for working with optional variables, fields in structures, functions and database models.

Vertx-effect brings functional effects to the Vert.x ecosystem and is inspired by Erlang’s actor model. Its manifesto emphasizes principles such as maximizing the use of verticles for scalability, maintaining single responsibility for each verticle, and prioritizing simplicity to enhance reliability and ease debugging.

  • functional-programming
  • java
  • json-values
  • persistent-data-structure

A Julia wrapper for the Smile C++ Structural Modeling, Inference, and Learning Engine for Bayesian & Influence Networks