CUDA programming in Julia
CV-CUDA™ is an open-source, GPU accelerated library
Build and run Docker containers leveraging NVIDIA GPUs
Lightning fast C++/CUDA neural network framework
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
GFPGAN aims at developing Practical Algorithms
RandomX, KawPow, CryptoNight, AstroBWT and GhostRider unified miner
C++ library for high performance inference on NVIDIA GPUs
A NumPy-compatible array library accelerated by CUDA
Real-ESRGAN video upscaler with resumability
InvokeAI is a leading creative engine for Stable Diffusion models
The C++ parallel algorithms library
GPU DataFrame Library
Koç University deep learning framework
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Package for writing high-level code for parallel stencil computations
BCI: Breast Cancer Immunohistochemical Image Generation
Simplest working implementation of Stylegan2
A set of Docker images for training and serving models in TensorFlow
Go package for computer vision using OpenCV 4 and beyond
[WIP] VoiceSmith makes training text to speech models easy
Toolkit for allowing inference and serving with MXNet in SageMaker
Fast FDTD solver with graphics card support
Batch file to install and run NAM (neural-amp-modeler) easily.
GUI for training of neural network models for GuitarML Proteus