CUDA programming in Julia
CV-CUDA™ is an open-source, GPU accelerated library
Lightning fast C++/CUDA neural network framework
OpenGL Mathematics (GLM)
GPU Accelerated t-SNE for CUDA with Python bindings
GFPGAN aims at developing Practical Algorithms
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
Stable Diffusion built-in to Blender
OpenCV wrapper for .NET
C++ library for high performance inference on NVIDIA GPUs
A NumPy-compatible array library accelerated by CUDA
Build and run Docker containers leveraging NVIDIA GPUs
InvokeAI is a leading creative engine for Stable Diffusion models
Real-ESRGAN video upscaler with resumability
A high-throughput and memory-efficient inference and serving engine
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Fast Python collaborative filtering for implicit feedback datasets
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Cross platform .Net wrapper to the OpenCV image processing library
Real-time collision detection and multi-physics simulation for VR
Jittor is a high-performance deep learning framework
CUDA Templates for Linear Algebra Subroutines
ONNX-TensorRT: TensorRT backend for ONNX
The C++ parallel algorithms library