Projects tagged ‘python’ and ‘research’

NLTK — the Natural Language Toolkit — is a suite of open source Python modules, linguistic data and documentation for research and development in natural language processing, supporting dozens of ... [More] NLP tasks, with distributions for Windows, Mac OSX and Linux. [Less]

NetworkX (NX) is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Features: * Includes standard graph-theoretic and ... [More] statistical physics functions * Easy exchange of network algorithms between applications, disciplines, and platforms * Includes many classic graphs and synthetic networks * Nodes and edges can be "anything" (e.g. time-series, text, images, XML records) * Exploits existing code from high-quality legacy software in C, C++, Fortran, etc. * Open source (encourages community input) * Unit-tested Additional benefits due to Python: * Allows fast prototyping of new algorithms * Easy to teach * Multi-platform * Allows easy access to almost any database [Less]

cclib is an open source library, written in Python, for parsing and interpreting the results of computational chemistry packages. The goals of cclib are: * to facilitate the implementation of ... [More] algorithms that are not specific to a particular computational chemistry package * to provide a simple and standard interface to the results of computational chemistry calculations, particularly those results that are useful for algorithms or visualisation * to maximise interoperability with other open source computational chemistry and cheminformatic software libraries [Less]

The Vision Egg is a powerful, flexible, and free way to produce stimuli for vision research experiments. The Vision Egg is a high level interface between Python and OpenGL. In addition to methods ... [More] for automatic generation of traditional visual stimuli such as sinusoidal gratings and random dot patterns, it has a number of functions for moving numeric data, images, movies, text, and 3D objects to and from your video card and allowing use of some of its features like perspective distortion. Therefore, it is also useful for anyone wishing to make use of the features of today's graphics cards. [Less]

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments ... [More] to test and compare your algorithms. It's the Swiss army knife for machine learning and neural networking. [Less]

This is a repository for software used to conduct online experiments.

Troia is a set of graphical and command line tools for automating university interlibrary loan requests from various reference sources (BibTeX, RIS, DOI lookups, etc..) as well as perform some known ... [More] fixes on glitched reference data from various sources. [Less]

Projects for xiaonei welcome you! 这里是为中国的互联网技术服务的交流学习平台！

IntroductionThe objective of this project is to establish a systematic framework for the design of feedback control system for real-time control of thin film microstructural defects using integration ... [More] of multiscale models and measurements. Key elements include: Method for construction of stochastic dynamic models, which are suitable for controller design and real-time implementation. Practical-implementable, feedback control systems based on nonlinear and predictive control theory. Multi-scale modeling of thin film growth describing the relationship between controllable process variables and thin film porosity. Construction of stochastic dynamic models that describe the effect of controllable variables on the evolution of thin film porosity using data from multiscale process model simulations. Design of estimation and feedback control systems for real-time thin film porosity minimization using the stochastic dynamic models and process measurements. Detailed works are listed below: Process simulator for thin film deposition (LPCVDSIM). This is based on kinetic Monte Carlo algorithm developed in \cite{Gillespie1976, Fichthorn1991, Shitara1992, Reese2001}. The simulator comes in two way (1) a set of classes that you can use in your code (2) a stand-alone binary file that your can integrated with Matlab or other common control developing platform. Matlab and general interface for this software is also provided with the simulator. Besides, GPU implementation is also considered. The interface of this simulator is designed so that it can be easily replaced with a real system. Algorithms planed to implement includes: solid-on-solid, 1D solid-on-solid, 2D triangular lattice, 1D real crystal structure, 2D Multiscale simulator combining 1D PDE gas phase with kMC simulator. Multiscale simulator combining 2D/3D CFD model with kMC simulator Control algorithms package (LPCVDCON). This will be implemented as a Matlab library and Simulink block library. The design principle of this library is that it requires few modification to apply in real system. Feedback controller using multiple small KMC simulator as in \cite{Lou2003a,Lou2003b} State feedback controller of surface roughness based on linear stochastic PDE as in \cite{Lou2005a, Lou2005b} State feedback controller of surface roughness based on nonlinear stochastic PDE as in \cite{Lou2006} Output feedback controller of surface roughness based on linear and nonlinear stochastic PDE as in \cite{Hu2008} Model predictive controller based on KSE equation for surface roughness, porosity and thickness Model predictive controller based on multiscale model for surface roughness, porosity and thickness Model predictive control of surface roughness variance System identification algorithms from KMC simulation results (LPCVDID). This part also come as a Matlab library. Algorithms planed to implemented includes: Deterministic linear model as in \cite{Siettos2003, Armaou2004, Varshney2006} Reduced-order approximation of the master equation as developed in \cite{Gallivan2004}. Empirical input-output models as used by \cite{Rusli2006} KSE model You can find more about this project from the proposal. MembersAdvisers: Panagotis D. Christofides, Orkoulas Markis Graduate students: Gangshi Hu, Xinyu Zhang, Jianqiao Huang For DeveloperWeekly Plan and Progress ReportsCode Structure and Interface SpecificationData Format [Less]

This Project is a base application framework for islamic research project. you can add any features to it