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PyCBC is an open source software package primarily written in the Python programming language which is designed for use in gravitational-wave astronomy and gravitational-wave data analysis. [1] PyCBC contains modules for signal processing, FFT , matched filtering , gravitational waveform generation, among other tasks common in gravitational ...
Name Primary programming language Release year Scripting Cross-platform 2D/3D oriented Target platform Notable games License Notes and references 4A Engine: C++: 2010 Yes 3D ...
PyTouhou is a free and open-source reimplementation of Touhou 6 engine in Python and now Rust by three French programmers: Emmanuel Gil Peyrot, Thibaut Girka and Gauvain Roussel-Tarbouriech. While the Python branch is mostly complete, albeit for a few bugs, the Rust branch is still a work-in-progress.
EMPy ("Electromagnetic Python") software. motofit is a program for analysing neutron and X-ray reflectometry data. OpenFilters is a program for designing optical filters. Py_matrix is an open source Python code that implements the transfer-matrix method for multilayers with arbitrary dielectric tensors. It was especially created for plasmonic ...
In 1947, John von Neumann sent a letter to Robert Richtmyer proposing the use of a statistical method to solve neutron diffusion and multiplication problems in fission devices. [5] His letter contained an 81-step pseudo code and was the first formulation of a Monte Carlo computation for an electronic computing machine.
The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.
Breakthrough Initiatives are developing open source software to assist users in understanding and analyzing the data, which are available on GitHub under UCBerkeleySETI. [26] The data is also processed by the SETI@home volunteer computer network, with the first batch of data being made available to SETI@home in April 2016. [4]
The kinetic Monte Carlo (KMC) method is a Monte Carlo method computer simulation intended to simulate the time evolution of some processes occurring in nature. Typically these are processes that occur with known transition rates among states.