useongkim's Stars
resibots/limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
rmcantin/bayesopt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
jbaldwin/libcoro
C++20 coroutine library
davideberly/GeometricTools
A collection of source code for computing in the fields of mathematics, geometry, graphics, image analysis and physics.
CGAL/cgal
The public CGAL repository, see the README below
triton-lang/triton
Development repository for the Triton language and compiler
openxla/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators
rl-tools/rl-tools
The Fastest Deep Reinforcement Learning Library
raymondyfei/lbfgsb-gpu
An open source library for the GPU-implementation of L-BFGS-B algorithm
osqp/osqp
The Operator Splitting QP Solver
DNKpp/mimicpp
A modern and (mostly) macro free mocking-framework
duneroadrunner/scpptool
scpptool is a command line tool to help enforce a memory and data race safe subset of C++.
pytorch/botorch
Bayesian optimization in PyTorch
zi-w/Ensemble-Bayesian-Optimization
Code repository for Ensemble Bayesian Optimization
HazyResearch/flash-fft-conv
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
huawei-noah/HEBO
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
stan-dev/math
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
cpp-best-practices/cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
plantuml-stdlib/C4-PlantUML
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
rapidsai/cuvs
cuVS - a library for vector search and clustering on the GPU
gnardari/wasserstein
Header only C++ implementation of the Wasserstein distance (or earth mover's distance)
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
gablabc/BlazeML
Machine Learning applied to the optimization of the HPX backend of Blaze
kokkos/kokkos
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
rick4470/IEEE-SRS-Tempate
IEEE System Requirements Specification Template
UO-OACISS/apex
Autonomic Performance Environment for eXascale (APEX)
NVIDIA/multi-gpu-programming-models
Examples demonstrating available options to program multiple GPUs in a single node or a cluster
sithhell/hpxbenchmarks
Various Benchmarks for HPX
STEllAR-GROUP/hpx
The C++ Standard Library for Parallelism and Concurrency
ergenekonyigit/Numerical-Analysis-Examples
Numerical Analysis Implementations in Various Languages