ILGPU JIT Compiler for high-performance .Net GPU programs

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

Examples of C# code compiled to GPU by hybridizer

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, MacOS), multimodal model for text and images and so on.

CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of the assembly.

Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)

CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.

All-in-one mixed multi-GPU (nVidia, AMD, Intel) & CPU miner solves proof of work to mine supported EIP918 tokens in a single instance (with API).

This project's main goal is to generate and visualize terrain built using voxels. It was achieved using different approaches and computing technologies just for the sake of performance and implementation comparison.

Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner - ONNX/YOLOv8 - CUDA - C#)

YoloCSharp is a cross platform wrapper of Yolo/Darknet for .Net Standard 2.0

.Net GPU compute for the browser and desktop. Write once, run on WebGPU, WebGL, Wasm, CUDA, OpenCL, and CPU

A native AOT-first universal compute framework for .NET 9+

An open source machine learning framework in .net core

Nvml( nvidia monitoring library) wrapper for c#.

A Microsoft Excel calculation speed-up add in.

In this project I use C#, Alea GPU and OpenGL.Net to create a simple, hardware-accelerated, 3d animation of rotating cubes.

Hardware-agnostic machine learning infrastructure for .NET. Implements high-performance neural network layers in C# that are transpiled to run on WebGPU, CUDA, OpenCL, WebGL, CPU, and Wasm via SpawnDev.ILGPU. Optimized for Blazor WebAssembly and native GPU execution.

C#から簡単にCUDAを呼び出すためのライブラリ