Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
π 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.
Machine learning, computer vision, statistics and general scientific computing for .NET
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Machine Learning for .NET
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Practical examples written in SciSharp's machine learning libraries
A Computer Vision library for C# and F# that combines OpenCV and NDArray together in .NET Standard.
An easy to use C# deep learning library with CUDA/OpenCL support
Series and Panels for Real-time and Exploratory Analysis of Data Streams
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.