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...
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
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.
This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your...
Cpu Usage, the amount of time that the current thread/process has executed in kernel and user mode including async/await scenarios. Works everywhere: Linux, OSX and Windows. Does not require any special permissions.
Targets everywhere: Net Framework 2.0-4.8, Net Standard 1.3-2.1, Net Core 1.0-3.1
Per-task and per-process statistics from the Linux kernel for .NET Core (x64, arm, and arm64) and Mono (any platform architecture including i686, armel, powerpc, ppc64el, mips64el). The metrics include CPU Usage, counters and delays caused by IO, swap-in, memory reclaim, and memory trashing....
Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.