CUDA programming in Julia
CV-CUDA™ is an open-source, GPU accelerated library
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Lightning fast C++/CUDA neural network framework
GFPGAN aims at developing Practical Algorithms
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
C++ library for high performance inference on NVIDIA GPUs
Build and run Docker containers leveraging NVIDIA GPUs
A NumPy-compatible array library accelerated by CUDA
InvokeAI is a leading creative engine for Stable Diffusion models
Real-ESRGAN video upscaler with resumability
Cross platform .Net wrapper to the OpenCV image processing library
Real-time collision detection and multi-physics simulation for VR
Run the Stable Diffusion releases in a Docker container
Distributed parallelization of stencil-based GPU and CPU applications
2D and 3D Face alignment library build using pytorch
GPU DataFrame Library
Neural Network primitives with multiple backends
RAPIDS Machine Learning Library
Package for writing high-level code for parallel stencil computations
Koç University deep learning framework
A language for fast, portable data-parallel computation
Simplest working implementation of Stylegan2
Library for efficient similarity search and clustering dense vectors
Data manipulation and transformation for audio signal processing