Top 20 NuGet cuda Packages

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...
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
A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers, now with Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!
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...
A C# wrapper API of CUDA Driver API (v9.2.88) for Windows and Ubuntu (x64).
Giving Windows C# developers easy access to NVIDIA's CUDA.
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
Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.
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...
A compiler, runtime, and API for GP-GPU computing using C# or any other NET language, for Windows and Ubuntu x64.
Giving Windows C# developers easy access to the Arcade-Learning-Envrionment.
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.
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).
managedCuda-wrapper for CUBLAS, only for x64-platform
managedCuda-wrapper for NVRTC, only for x64-platform
C# wrapper for CUDA
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