deepakkumar1984
NuGet publisher profile
Packages (37)
QuickGraph.NETStandard
QuickGraph .NET standard. QuickGraph provides generic directed/undirected graph datastructures and algorithms for .Net. QuickGraph comes with algorithms such as depth first seach, breath first search, A* search, shortest path, k-shortest path, maximum flow, minimum spanning tree, least common ancestors, etc...
BDK.XrmToolBox.UserAuditViewer
View CRM Users, their audit activity and find users who last logged-in
BDK.XrmToolBox.RecycleBin
Review and restore the deleted records for entities with auditing enabled. The restore option just recreated the record with same deleted guid. Relationship may or may not get restored automatically.
BDK.XrmToolBox.StorageSpaceCleaner
Reduce the amount of storage space used by removing or deleting different types of information from Microsoft Dynamics CRM.
Keras.NET
C# bindings for Keras on Win64 - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.
Keras.NET.Mono
C# bindings for Keras on Linux - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.
Keras.NET.OSX
C# bindings for Keras on OSX - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.
ManagedCuda
Combined of all the CUAD library (CUFFT, CURAND, CUSPARSE, CUBLAS, CUSOLVE, NPP and NVRTC.) into one .NET Standard package. Please install package version which based in CUDA installation. Original author: https://kunzmi.github.io/managedCuda/ ManagedCuda combines Cuda's GPU computing power with the comfort of managed .net code. While offering access to the entire feature set of Cuda's driver API, managedCuda has type safe wrapper classes for every handle defined by the API. ManagedCuda also includes wrappers for all Cuda based libraries, as there were CUFFT, CURAND, CUSPARSE, CUBLAS, CUSOLVE, NPP and NVRTC.
SiaNet
Developing a C# wrapper to help developer easily create and train deep neural network models. Easy to use library, just focus on research Multiple backend - ArrayFire (In Progress), TensorSharp (In Progress), CNTK (Not Started), TensorFlow (Not Started), MxNet (Not Started) CUDA/ OpenCL support for some of the backends Light weight libray, built with .NET standard 2.0 Code well structured, easy to extend if you would like to extend with new layer, loss, metrics, optimizers, constraints, regularizer
SiaNet.Engine
Dependency package for SiaNet and its backends.
MxNet.Sharp
C# Binding for the Apache MxNet library. NDArray, Symbolic and Gluon Supported MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.
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.
Arithmetica
Learn and execute quantum computing algorith in C#
MxNet.Runtime.Redist
MxNet CPU Redistributed package for MxNet.Sharp library.
MxNetLib
C# Binding for the Apache MxNet library with some high level API defined in MxNet.NN. MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.
SuperchargedArray
An extended version of the Array to accelerate operation, easy to use, multi dimensional. With SuperchargedArray.Accelerated namespace you will unlock SIMD potential to run the Array operation on any hardware like Intel CPU/GPU, NVIDIA, AMD etc.
SiaNet.Backend.CNTKLib
CNTK backend for SiaNet library. Please install SiaNet along with this backend.
SiaNet.Backend.CNTKCpuOnly
CNTK CPU Only backend for SiaNet library. Please install SiaNet along with this backend.
SiaNet.Backend.TensorFlowLib
TensorFlow backend for SiaNet library. Please install SiaNet along with this backend.
SiaNet.Backend.ArrayFire
ArrayFire backend for SiaNet library. Please install SiaNet along with this backend.
SiaNet.Backend.MxNet
MxNet backend for SiaNet library. Please install SiaNet along with this backend.
MxNet.Runtime.Winx64.Redist
MxNet CPU Redistributed package for MxNet.Sharp library.
MxNet.Linux.Runtime.Redist
MxNet CPU Linux Redistributed package for MxNet.Sharp library.
MxNet-MKL.Runtime.Redist
MxNet MKL CPU Redistributed package for MxNet.Sharp library.
MxNet-CU100.Runtime.Redist
MxNet MKL GPU for Cuda 10 Redistributed package for MxNet.Sharp library.
OpenBLAS.NET
OpenBLAS.NET is a CSharp binding of OpenBLAS library: https://www.openblas.net/ In scientific computing, OpenBLAS is an open source implementation of the BLAS (Basic Linear Algebra Subprograms) API with many hand-crafted optimizations for specific processor types. It is developed at the Lab of Parallel Software and Computational Science, ISCAS.
MxNet-CU101MKL.Runtime.Redist
MxNet Redistributed package for MxNet.Sharp library.
MxNet-CU92.Runtime.Redist
MxNet GPU for Cuda 9.2 Redistributed package for MxNet.Sharp library.
MxNet-CU100MKL.Runtime.Redist
MxNet Redistributed package for MxNet.Sharp library.
MxNet-CU101.Runtime.Redist
MxNet MKL GPU for Cuda 10.1 Redistributed package for MxNet.Sharp library.
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