🐳 🐦Docker environment for Swift GPU Accelerated Machine Learning
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Updated
Jul 16, 2020 - Dockerfile
🐳 🐦Docker environment for Swift GPU Accelerated Machine Learning
A library for calculations with circular coils
A dynamic data race detector for CUDA programs
Minimal working example (MWE) on how to use CMake, CUDA, MEX, C++ and library support at once
A modified WTA learning scheme with BindsNet
A simple and easy to use C++ image processing library with focus on heterogeneous systems
We implemented our own sequential version of GA, PSO, SA and ACA using C++ (some using Eigen3 as matrix operation backend) and the parallelized version with CUDA support. All of them are much faster than the popular lib scikit-opt.
Low level http service for image recognition. Written in rust with CUDA support.
Projeto final da disciplina EEL7513/EEL7514/EEL510417 - Introdução ao Aprendizado de Máquina.
[DEPRECATED, moved into CUDA.jl] CUDA textures ("CUDA arrays") interface for native Julia
CUDA Programming Starter Kit for VSCode and CLion
Bring the Rust-CUDA project back to life under modern Linux environments.
Master - Worker tasking library including CUDA support for tasking GPUs
A simple side project that uses cagliostrolab/animagine-xl-3.1 and igdb to create images of anime characters with elements of specific games. Can be used as a profile picture generator.
An Ansible role to install the minimum needed to run a cuda application.
End-to-End Automatic Speech Recognition on PyTorch with CTC Decoder and Ken LM
A portable modern C++ primitive performance library for 3D Vision & Photo-Mechanics.
Install CUDA on Windows11 using WSL2
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