164 Open source projects that are alternatives of or similar to paradiseo

FastFlow pattern-based parallel programming framework (formerly on sourceforge)

Image-processing software for cryo-electron microscopy

Cypress test reporter for CircleCI

Visualize Tensorflow's optimizers.

An evolutionary computation framework

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

The Selenified Test Framework provides mechanisms for simply testing applications at multiple tiers while easily integrating into DevOps build environments. Selenified provides traceable reporting for both web and API testing, wraps and extends Selenium calls to more appropriately handle testing errors, and supports testing over multiple browser…

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

Maven plugin that simplifies running Cucumber Scenarios in parallel.

Open Optimizing Parallelizing System

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

Simulated Dual Annealing for python and benchmarks

Algorithmic trading strategies

A Python library to create/update/delete AWS CloudFormation stacks in parallel

Visualize optimization algorithms in MATLAB.

Easy to use map and starmap python equivalents

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

corebench - run your benchmarks against high performance computing servers with many CPU cores

C++ solvers for Minimum Cost Flow Problems

ClusterRunner makes it easy to parallelize test suites across your infrastructure in the fastest and most efficient way possible.

A research toolkit for particle swarm optimization in Python

MoveIt kinematics_base plugin based on particle optimization & GA

A Genetic Algorithm Framework in Python

An open-source, on-premise, self-hosted alternative to Cypress Dashboard

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

Search the best feature subset for you classification mode

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

A header-only C++ library for numerical optimization --

A framework for gene expression programming (an evolutionary algorithm) in Python

oj! Algorithms

Implementation of a few sorting algorithms in OpenCL

Curvature Filters are efficient solvers for Variational Models

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Cuneiform distributed programming language

Implementation of Variational Quantum Factoring algorithm.

Project about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms

ROS-compatible Eigen-based Goldfarb-Idnani quadratic programming solver

Fast and distributed workflow runner using ActiveJob and Redis

MATLAB implementations of a variety of nonlinear programming algorithms.

A simple Java OOP evolutionary algorithm framework.

A mod for KerbalSaceProgram

An AI to teach Google Chrome's dinosaur to jump obstacles.

simobility - light-weight mobility simulation framework. Best for quick prototyping

THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

for mass exploiting

Large scale convex optimization solvers in julia

Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and let's you solve them with various solvers.

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

A toolkit for testing control and planning algorithm for car racing.

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

Clapeyron (formerly OpenSAFT) provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.

Library for VLSI CAD Design Useful parsers and solvers' api are implemented.

Kinematics and dynamics solvers and controllers.

The old school Tetris game in addition with an AI that learns evolutionary how to play this game

A topology and parameter evolving universal learning network.

Global optimization algorithms written in C++