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
GPU Accelerated t-SNE for CUDA with Python bindings
GFPGAN aims at developing Practical Algorithms
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
A NumPy-compatible array library accelerated by CUDA
Real-ESRGAN video upscaler with resumability
InvokeAI is a leading creative engine for Stable Diffusion models
C++ library for high performance inference on NVIDIA GPUs
Build and run Docker containers leveraging NVIDIA GPUs
Distributed parallelization of stencil-based GPU and CPU applications
Cross platform .Net wrapper to the OpenCV image processing library
Koç University deep learning framework
GPU DataFrame Library
Run the Stable Diffusion releases in a Docker container
2D and 3D Face alignment library build using pytorch
Neural Network primitives with multiple backends
RAPIDS Machine Learning Library
Package for writing high-level code for parallel stencil computations
A language for fast, portable data-parallel computation
Easy-to-use deep learning framework with 3 key features
Simplest working implementation of Stylegan2
Library for efficient similarity search and clustering dense vectors