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An extensible .NET genetic algorithm library for optimization and artificial intelligence - Evolutionary computation and complex problem solving made simple
This is a cross-platform framework for building, training, and deploying custom machine learning models within the .NET ecosystem. It provides a predictive modeling engine for classification, regression, and forecasting tasks, alongside an inference runtime to generate predictions across different hardware architectures. The framework includes a gradient boosting library and supports interoperability with external models via a standardized open format. It features tools for prediction explainability, allowing the analysis of feature importance to debug model behavior and identify bias. The p
This project is a scientific computing framework for the .NET ecosystem, providing a comprehensive suite of libraries for numerical analysis, statistics, and mathematical optimization. It serves as a foundational toolkit for developing applications in machine learning, digital signal processing, and computer vision. The framework provides specialized toolkits for training and deploying predictive models, including neural networks, support vector machines, and decision trees. It further distinguishes itself with deep integrations for real-time visual analysis, such as object tracking and facia
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
The main features of curiosity-ai/catalyst are: Machine Learning and Data Science.
Open-source alternatives to curiosity-ai/catalyst include: accord-net/framework — This project is a scientific computing framework for the .NET ecosystem, providing a comprehensive suite of libraries… asarnaout/opengeneticalgorithm.net — An extensible .NET genetic algorithm library for optimization and artificial intelligence - Evolutionary computation… dotnet/machinelearning — This is a cross-platform framework for building, training, and deploying custom machine learning models within the… fsprojects/fsharp.data — F# Data: Library for Data Access. giacomelli/geneticsharp — GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the… migueldeicaza/tensorflowsharp — TensorFlow API for .NET languages.
