Full build script for Open CV with/without cuda and bumblebee support
Gradient Descent Optimizers and Genetic Algorithms using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
A simple yet sufficiently fast (attenuated) Radon and backproject implementation using KernelAbstractions
TOML-annotated C header file format for packaging binary files, from Microsoft Research
Provides an environment for compiling TensorFlow or PyTorch with CUDA for aarch64 on an x86 machine
GPU-accelerated Marginalized Graph Kernel with customizable node and edge features; Gaussian process regression
In this code is provided a simple, efficient and fast method to calculate motion and backgroud dynamically using nVidia GPUs power
Ising: a Python package for exactly solving abritrary Ising model instances using exhaustive search