Search Results for "anpr using python"

mujoco-py is a Python wrapper for MuJoCo, a high-performance physics engine widely used in robotics, reinforcement learning, and AI research. It allows developers and researchers to run detailed rigid body simulations with contacts directly from Python, making MuJoCo easier to integrate into machine learning workflows. The library is compatible with MuJoCo version 2.1 and supports Linux and macOS, while Windows support has been deprecated. It provides utilities for loading models, running...

The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.

This is a collection of software modifications created to integrate NanoEngineer-1, PACKMOL and MSI2LMP for the purpose of easily creating molecular dynamics cells. NanoEngineer-1 is a molecular CAD software written by Nanorex and provides the user an easy way to create molecules, while the software modifications allow the user to type atoms using multiple force fields. PACKMOL can generate a random collection of molecules using the molecule templates from NanoEngineer-1 thus providing the...

ParamIT is a toolkit aiding the development of molecular mechanical force field parameterization of small, drag like, molecules within CHARMM general force field (CGenFF) protocol. The developed toolkit helps the researchers in following ways: 1) automating the creation of multiple input files for quantum and molecular mechanics programs, 2) automating the output analysis and 3) substitute the use of full MM programs with a faster specialized one. The developed tools include: 1) generator of...

CHLone is a CGNS/SIDS compliant mapping on HDF5. You can read/write CGNS/HDF5 files and access to node through a C API interface or using a Python module.

This project has been moved to https://github.com/fmipp/trnsys-fmu This open-source project provides a stand-alone tool for exporting FMUs for Co-Simulation from TRNSYS 17 models. The current release supports FMI version 1.0 and 2.0. Instructions on installation and usage are given in the documentation, which is provided as part of the download. This documentation also contains a tutorial on how to export a TRNSYS model as FMU for co-simulation and how to link it with a simple...

TinkerCell is a software for synthetic biology. The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.

...The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language.

Ani2D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers.

GSI student toolbox is a software package made for teaching purposes. It allows you to perform seismic inversion using global sthocastic inversion method made within CERENA/CMRP. NOTE: you can perform the same operations done with GSI Student Toolbox with our newest software GEOMS2. You can download the beta release here: https://sourceforge.net/projects/geoms2/

Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

Spasmos is a Python package that allows scientists to simulate the dynamics of highly collisional plasmas using a number of numerical methods.