Top 20 NuGet cuda Packages

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 with full On-line Help, now with Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recur...
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...
Giving Windows C# developers easy access to the ONNX AI Model Format for easy model conversions.
Giving Windows C# developers easy access to NVIDIA's CUDA.
Giving Windows C# developers easy access to the Arcade-Learning-Envrionment.
Giving Windows C# developers easy access to their WebCam.
ILGPU Algorithms library for high-level GPU programming. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples
ManagedCuda aims an easy integration of NVidia's CUDA in .NET applications written in C#, Visual Basic or any other .NET language. This package includes only the core ManagedCuda library and no additional CUDA libraries. CUDA Toolkit: 9.1.85.3 Minimum NVIDIA GPU driver: 387.9...
managedCuda-wrapper for CUBLAS (Windows/Linux/.net Framework 4.x/.net Core 3.x)
managedCuda-wrapper for NVRTC (Windows/Linux/.net Framework 4.x/.net Core 3.x)
A C# wrapper API of CUDA Driver API (v9.2.88) for Windows and Ubuntu (x64).
managedCuda-wrapper for CUFFT (Windows/Linux/.net Framework 4.x/.net Core 3.x)
managedCuda-wrapper for CUSOLVE (Windows/Linux/.net Framework 4.x/.net Core 3.x)
managedCuda-wrapper for NPP (Windows/Linux/.net Framework 4.x/.net Core 3.x)
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.
Alea GPU Platform compiler. This is a development-only dependency.
A compiler, runtime, and API for GP-GPU computing using C# or any other NET language, for Windows and Ubuntu x64.
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 .