deepakkumar1984/ASP.NET-Core-with-Vue-JS

Stars
6
Rank 2,539,965 (Top 51 %)
Language
C#
License
MIT License
Created about 3 years ago
Updated over 2 years ago

deepakkumar1984/ASP.NET-Core-with-Vue-JS

deepakkumar1984

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ASP.NET Core with Vue JS

Amplifier.NET

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.

MxNet.Sharp

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

sia-cog

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

XrmToolBoxPlugins

Tools for Dynamics CRM

SuperchargedArray

A super accelerated array extension for C# supported to run on multiple hardware: CPU, GPU (NVIDIA, AMD, Intel) to achieve accelerated speed

QuickGraph.NETStandard

QuickGraph provides generic directed/undirected graph datastructures and algorithms for .Net

OpenBLAS.NET

OpenBLAS is an open source implementation of the BLAS (Basic Linear Algebra Subprograms) API with many hand-crafted optimizations for specific processor types.

Route-Planner-API

Route Planner API to solve travelling saleperson problem

AmadeusSdk

Amadeus SDK for C# .NET

Image-Resizer

A tool to recreate image of various sizes

Arithmetica

This is a simple library to build and simulate your own quantum computing algorithms in C#, yes in C#.

XtlSharp

xTensor.NET is a C# binding for xtensor library meant for numerical analysis with multi-dimensional array expressions.

Math-Expression-Generator

Build random math expression for creating sample exam papers

RL.NET

A toolkit for developing and comparing reinforcement learning algorithms.

Armadillo.NET

CSharp binding of Armadillo (C++ library for linear algebra & scientific computing)

Design-Patterns