Top 20 NuGet cuda Packages

A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!
ILGPU compiler and runtime library for convenient and high-performance GPU programming in .Net. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples
Giving Windows C# developers easy access to NVIDIA's CUDA.
Giving Windows C# developers easy access to the Arcade-Learning-Envrionment.
C# binding for Khiva library
A compiler, runtime, and API for GP-GPU computing using C# or any other NET language, for Windows and Ubuntu x64.
Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN and native memory management
This is the .net standard 2 version of BrightWire.CUDA which adds CUDA support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU (x64 only).
A C# wrapper API of CUDA Driver API (v9.2.88) for Windows and Ubuntu (x64).
TensorSharp is an open source library providing efficient N-dimensional arrays for .NET. Currently, there are backends for running tensor computations on the CPU, and on CUDA GPU hardware. The library is designed to be efficient, easy to install/deploy, and simple to extend. The implementations of m...
Tensor (n-dimensional array) library for F# Core features: - n-dimensional arrays (tensors) in host memory or on CUDA GPUs - element-wise operations (addition, multiplication, absolute value, etc.) - basic linear algebra operations (dot product, SVD decomposition, mat...
This package provides the native DNN dependencies for EMGU TF software libraries
This package provides the native CUDA FFT dependencies for EMGU TF software libraries
Alea GPU Platform compiler. This is a development-only dependency.
This package provides the native CUDA dependencies for EMGU.CV-CUDA
TensorSharp is an open source library providing efficient N-dimensional arrays for .NET. Currently, there are backends for running tensor computations on the CPU, and on CUDA GPU hardware. The library is designed to be efficient, easy to install/deploy, and simple to extend. The implementations of m...
Alea GPU Platform core. It provides kernel constructs and a JIT compiler that translates IL instructions or F# quotations into GPU kernels. For more details, please go to http://www.quantalea.com .
ILGPU SharpDX library.
Forked from Surban (https://surban.github.io/managedCuda/), which was forked from Kunzmi (https://kunzmi.github.io/managedCuda/), slightly newer and improved. You must install NVIDIA GPU Toolkit 10.0.130.