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High-Performance Symbolic Regression in Python and Julia
PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several years, PySR has been engineered from the ground up to be (1) as high-performance as possible, (2) as configurable as possible, and (3) easy to use. PySR is developed alongside the Julia library SymbolicRegression.jl, which forms the powerful search engine of PySR. The details of these algorithms are...
Program comparing Simulation Results for the SBML TestSuite
Compare SBML Test Suite Results
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The [SBML Testsuite](http://sbml.org/Facilities/Online_SBML_Test_Suite) allows developers of ODE based simulators to test their implementation against a large number of test cases that test a wide aspect of the [SBML Specifications](http://sbml.org/Documents/Specifications).
While implementing my simulator [RoadRunner](http://roadrunner.sf.net) I wanted to be able to compare it using a wider range of parameters:
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This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
multiDAC is intended to become a user-friendly tool for image- and videoprocessing in the field of deformation/movement analysis. It is written in C# with some C routines using CPU/GPU parallelization (e.g. CUDA) and features a plugin manager.
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