Found 244 packages
Simple, forward-compatible references to ANY Unity assembly on ANY platform.
Unity3D assemblies from Editor/Data/Managed.
C# library for 2D/3D geometric computing and triangle mesh processing
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
Adds project assembly references to Unity3D managed DLLs installed on the system. Adds Package Manager Console commands to update, add, and remove Unity3D assembly references.
UnityEngine assembly from Editor/Data/Managed for reference in Unity script modules or cross reference in .NET Core `asmdef`ed projects. I DO NOT OWN THE RIGHSTS TO UNITY ENGINE.
Forked Newtonsoft.Json to support Unity3D
Roslyn analyzers for Unity game developers
Piggy-backs ontop of Paket to add dependencies to Unity3D projects
Unity3D build support for Cake - https://github.com/samoatesgames/Cake.Unity3D
Functional primitives for Unity3D - inspired by csharp-monads, Haskell & F#
Unity3D tasks for FAKE
Task-like asynchronous operations (promises) for Unity3d.
LibNoise is used to generate coherent noise, a type of smoothly-changing noise. LibNoise can generate Perlin noise, ridged multifractal noise, and other types of coherent-noise. Coherent noise is often used by graphics programmers to generate natural-looking textures, planetary terrain, and other things. In LibNoise, coherent-noise generators are encapsulated in classes called noise modules. There are many different types of noise modules. Some noise modules can combine or modify the outputs of other noise modules in various ways; you can join these modules together to generate very complex coherent noise.
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.