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  Analyzed 3 months 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, Artificial Intelligence and Neural ... [More]

36K lines of code

9 current contributors

4 months since last commit

6 users on Open Hub

Activity Not Available

Gemfony Optimization Library (Geneva)


  Analyzed 2 months ago

Geneva is a library written in C++ for performing parametric optimization in parallel on devices ranging from multi-processor machines over clusters to Grids and Cloud installations. Geneva currently supports Evolutionary Algorithms, Swarm Algorithms, Gradient Descents, a form of Simulated Annealing as well as Parameter Scans. All algo... [More]

127K lines of code

3 current contributors

3 months since last commit

2 users on Open Hub

Activity Not Available



  Analyzed 4 days ago

Nelder-Mead is an algorithm that I have used on many occasions over the years. It is a good general purpose gradient descent algorithm for optimizing non-linear multivariate equations, and does not require differentiability. I couldn't find a free C# implementation, so I wrote one.

538 lines of code

0 current contributors

Almost 8 years since last commit

0 users on Open Hub




  Analyzed 10 days ago

Program to estimate material properties from the measured first order thickness resonance in the ultrasonic transmission coefficient of a homogeneous plate at normal incidence. More information in: http://us-biomat.com/resources/code/ https://github.com/usbiomat/ultrasonic-thickness-resonance/wiki

2.94K lines of code

2 current contributors

About 1 month since last commit

0 users on Open Hub

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Licenses: No declared licenses