High performance gradient boosting for Ruby
- machine-learning
- xgboost
- rubyml
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High performance gradient boosting for Ruby
Recurrent Neural Network library for Ruby
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
FANN (Fast Artifical Neural Network) binding in Crystal
High performance gradient boosting for Ruby
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Machine Learning & Data Mining with JRuby
Python bindings for the Coq interactive proof assistant
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
The Waterproof plugin for the Rocq proof assistant allows you to write Rocq proofs in a style that resembles handwritten mathematical proofs, designed to help university students with learning how to prove mathematical statements.
scikit-learn for OCaml
🇪🇺 Resources and Learning Games for European Romance Language Communication
CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀
MXNet (AI/ML) bindings for the Crystal language.
A Ruby interface to the Timbl machine-learning library
A Julia wrapper for the Smile C++ Structural Modeling, Inference, and Learning Engine for Bayesian & Influence Networks