A Python framework for GPU-accelerated simulation, robotics, and machine learning.
- differentiable-programming
- python
- gpu-acceleration
- nvidia
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A Python framework for GPU-accelerated simulation, robotics, and machine learning.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
Multiphysics Object Oriented Simulation Environment: A robust, modern, extendable, finite element/finite volume framework that excels at creating complex multiphysics simulations.
A set of documented functions for simulating the performance of photovoltaic energy systems.
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.
A record player simulated from the groove up
OpenCL based GPU accelerated SPH fluid simulation library
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.