Search Results for "interactive physics simulator"

Sugar is a sweetener for your Cocoa implementations. Gain easy access to main bundle information. To easily exclude operations from when you as a developer runs the application in the simulator, not subscribing to push notification or running analytics operations etc. Observe the keyboard showing and hiding events, and handle it.

The IPS Framework has migrated to https://github.com/HPC-SimTools/IPS-framework The IPS framework was developed to support loosely-coupled integrated modeling of fusion plasmas (and was originally the Integrated Plasma Simulator). However, the design is quite general, and is suitable for many scientific and engineering domains. In addition to plasma physics, it is also being used in the engineering of batteries. One of the novel features of the IPS framework is its ability to support parallelism at multiple levels: components can launch individual parallel tasks, and also launch multiple tasks concurrently. ...

Cocos2D-ObjC is a framework for building 2D games, demos, and other graphical/interactive applications for iOS, Mac and tvOS. It is based on the Cocos2D design, but instead of using Python it uses Swift and / or Objective-C. Integrated with Chipmunk physics engine (Served as an extension). Tile Map support. Orthogonal, Isometric and Hexagonal. Parallax scrolling (Served as an extension). Motion Streak (Served as an extension).

BS Eagle Project is an open source black-oil simulator. The goal of this project is to provide a free access to the modern oil simulator to study new methods of simulation. The project has a modular architecture and open to modifications and extensions.

Tank Battles is a 3D simulator for teaching robot artificial inteligence. It's heavilly influenced by Robocode, but differs from the former in that it adds the complexity of a full 3D scene, realistic physics simulation, among other features.

LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.