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.
Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes.
Please check our new repository: https://github.com/CNS-OIST/STEPS
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData.
Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing...
VarData) manipulate a structure of points connected by links.
Addraw) openGL engine.
ElPoly) analyze mechanical properties of polymer and membrane like structures.
Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE.
Avvis) perform all the...
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Built with R, this code allows the user to simulate the game of basketball. While the main focus is on simulating the NBA, the code provides a framework for simulating other leagues by modifying the default set of rules.
Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision.
We have implemented this algorithm on Cell Broadband Engine.
Labcoat for SuperWikia Alpha fabrication manages new or revised fabrication processes. Its 'Cleanroom' applets allow codesmiths to access the lab environment, used to create semiconductors, substrate prototypes, chipset instruction blocks and other Labcoat projects. Our extensions in future releases will include UML support for C#/C++ conforming projects, import/export architecture schematics and refactoring sub-projects.