Search Results for "machine learning projects"

QSMM, a recursive acronym for "QSMM State Machine Model", is a framework for learning finite automatons that perform goal-directed interaction with entities which exhibit deterministic or stochastic behavior. The learning process can be carried out in real time together with the interaction process. A basic building block for supporting state models of finite automatons is adaptive probabilistic mapping, which for an argument from its domain returns more often results that maximize or minimize values of one or more objective functions. ...

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 simulations, and accessing simulation states in real time, along with visualization tools for rendering environments. ...

This android app is producing music and partition sheets in real time. Furthermore, the AI module can be activated and be trained to learn you prefered style and play it. You can also team play your music with the interconnect mode. Finally, move your phone like a 'chef d'orchestre' and see how it changes the music...

...This tool is similare to dynamips (GNS3) but it can manager a higher packet rate. It can help to study DDoS attacks based on Botnet using the Lightweigth C++ Virtual Machine (LwCVM) in order to emulate Bots. This project is based on the following projects and libraries: LightweighIP of the TCP/IP stack pthread libpcap for communication with virtual machines dynamips Linux MicroCore

A graphical MatLab framework for estimating the parameters of, modeling and simulating static and dynamic linear and polynomial systems in the errors-in-variables context with the intent of comparing various estimation strategies.

a distributed engine for abstract neural network development via natural-language programming

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.