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PyBrain

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  Analyzed 1 day ago

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning ... [More] , Artificial Intelligence and Neural Network Library. It's the Swiss army knife for machine learning and neural networking. [Less]

37.1K lines of code

0 current contributors

over 6 years since last commit

6 users on Open Hub

Inactive
5.0
 
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ParadisEO

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  No analysis available

ParadisEO is a C++ white-box object-oriented software framework for to the reusable design of metaheuristics. * Portable on: Windows, Unix and MacOS * Parallel and distributed architectures (MPI) * Grids (Globus, Condor-G/MW) It is composed of 4 interconnected modules: * ParadisEO-EOfor ... [More] population-based metaheuristics (evolutionary algorithms, particle swarm optimization, evolution strategy, differential evolution...) * ParadisEO-MO for solution-based metaheuristics (local search, simulated annealing, tabu search, iterated local search, variable neighborhood search...) * ParadisEO-MOEO for multiobjective optimization * ParadisEO-PEO for hybrid, parallel and distributed metaheuristics * ParadisEO-SMP for memory-shared parrallel metaheuristics [Less]

0 lines of code

1 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: lgpl

pytorch

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  No analysis available

Tensors and Dynamic neural networks in Python with strong GPU acceleration

0 lines of code

894 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: BSD-3-Clause

OscaR-Lib

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  Analyzed about 6 hours ago

OscaR stands for "Scala in OR (Operations Research)". It is a set of tools implemented in Scala to solve Optimization and Operations Research problems. Currently the content of OscaR is: - cp: a package to solve constraint programming problems - cbls: a package to solve problems with ... [More] constraint based local search - linprog: a package to write LP/MIP models with interfaces to glpk, lp_solve, gurobi and cplex - dfo: a package to solve derivative free optimization problems - des: a package to model discrete event simulation problems - visu: a package to build quickly visualizations for your optimization problem [Less]

207K lines of code

0 current contributors

7 months since last commit

5 users on Open Hub

Very Low Activity
5.0
 
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OptaPlanner

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  Analyzed about 8 hours ago

OptaPlanner optimizes business resource usage. Every organization faces planning problems: provide products or services with a limited set of constrained resources (employees, assets, time and money). OptaPlanner optimizes such planning to do more business with less resources. OptaPlanner is a ... [More] lightweight, embeddable planning engine written in Java™. It helps normal Java™ programmers solve constraint satisfaction problems efficiently. Under the hood, it combines optimization heuristics and metaheuristics with very efficient score calculation. OptaPlanner is open source software, released under the Apache Software License. It is 100% pure Java™, runs on any JVM and is available in the Maven Central Repository too. [Less]

623K lines of code

37 current contributors

23 days since last commit

4 users on Open Hub

Moderate Activity
5.0
 
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Opt4J

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  Analyzed 3 months ago

Java framework for applying optimization algorithms like Evolutionary Algorithms, Particle Swarm Optimizers, or Simulated Annealing to arbitrary optimization problems.

64.6K lines of code

0 current contributors

almost 2 years since last commit

4 users on Open Hub

Activity Not Available
0.0
 
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Trilinos

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  Analyzed 1 day ago

The Trilinos Project is an effort to develop algorithms and enabling technologies within an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. A unique design feature of Trilinos is its focus on packages. Trilinos ... [More] provides capabilities in meshing, load balancing, discretizations, mathematical optimization and uncertainty quantification, and transient, nonlinear, and linear solvers. Trilinos software is designed for scalability on the largest computer systems available and represents the state-of-the-art in scalable unstructured linear algebra, scalable unstructured preconditioning, block iterative methods, embedded optimization, stochastic methods, compatible discretizations and parallel partitioning algorithms. [Less]

7.97M lines of code

114 current contributors

6 days since last commit

4 users on Open Hub

Very High Activity
5.0
 
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Licenses: BSD-3-Clause, lgpl

MySQLTuner

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  Analyzed about 10 hours ago

MySQLTuner is a high-performance MySQL tuning script written in perl that will provide you with a snapshot of a MySQL server’s health. Based on the statistics gathered, specific recommendations will be provided that will increase a MySQL server’s efficiency and performance. The script gives ... [More] you automated MySQL tuning that is on the level of what you would receive from a MySQL DBA. [Less]

6.93K lines of code

16 current contributors

14 days since last commit

4 users on Open Hub

Moderate Activity
4.0
   
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SAT4J

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Claimed by The OW2 Consortium Analyzed about 16 hours ago

The SAT4J project is meant to provide SAT technologies to Java developers. SAT4J 2.0 is currently used in numerous academic projects (see SAT4J web site) and is used in the new Eclipse 3.4 update manager (Equinox p2).

70.9K lines of code

0 current contributors

10 days since last commit

4 users on Open Hub

Low Activity
5.0
 
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ulatencyd

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  Analyzed about 4 hours ago

μlatencyd is a daemon that optimizes the Linux kernel behavior by using heuristic and cgroups. The daemon uses lua scripts for most heuristic logic.

16.1K lines of code

0 current contributors

almost 6 years since last commit

3 users on Open Hub

Inactive
0.0
 
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