Cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
C#MIT Licenseactive
5 projectsMachine Learning and Data Science
Cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
C#MIT Licenseactive
Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.
C#MIT Licensesteady
F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data
F#Otheractive
Cross-platform Natural Language Processing (NLP) library inspired by spaCy, with pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. Part of the SciSharp Stack
C#MIT Licenseactive
Genetic algorithm .NET library for solving optimization problems, featuring extensible operators and adaptive strategy selection.
C#MIT Licensesteady