A family of header-only, very fast and memory-friendly hashmap and btree containers.
- hash
- tables
- unordered-map
- unordered-set
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SIMD Vector Classes for C++
- vectorization
- parallel
- simd-vector
- simd-instructions
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
- kratos
- fem
- dem
- parallel-computing
A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines
- cpp20
- coroutines
- wait-free
- threadpool
Powerful multi-threaded coroutine dispatcher and parallel execution engine
- coroutines
- parallel
- multi-threading
- cpp
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
- optimization
- optimization-algorithms
- optimization-methods
- optimization-problem
Collection of self-contained header-only libraries for C++17
An easy-to-use and fast library for task-based parallelism, utilizing coroutines.
- coroutines
- cpp
- parallel-computing
C++20 concurrency framework with no compromises. Excellent performance, powerful features, and simple syntax.
- coroutines
- cpp
- cpp20
- lock-free
A realtime visual programming language for interactive media.
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning