BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. A standalone signal viewer supporting more than 30 different data formats is also provided.
NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
Liberate your MATLAB code with LiberMate. Translate your software to free (libre) Python and the SciPy package. Are you a graduating student loosing access to MATLAB or an institution needing to share/collaborate scientific software with others.
BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
RYUON : many-particle simulation suite
A C++ library for the computation of bifurcation diagrams: it provides tools for the integration of systems of ODEs that depend on parameters. A Python interface is included.
Ctrax is now hosted on Sourceforge (http://sourceforge.net/projects/ctrax). This Berlios site will no longer be maintained.
A scientific enterprise to try to learn basic patterns using directed acyclic graphs.
GyaanOS is a GNU/Linux desktop distribution specially designed for Technology Students- has everything a student of Computer Science, IT, Electronics or Telecom will ever need. GyaanOS is For The Students and By The Students. By:Laksh & Tanmaya
math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.
This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
MATmute is a MATLAB code mutation system targeted at developers of scientific software. The package includes a mutator, a MATLAB function to call the mutator and run the mutants, and some examples to demonstrate how to use the system.
This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).
Clustering tool for publications from the MEDLINE database
Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.
The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
Simulating morphogenesis in developmental biology
OSE is Octave Simulation Environment, is a platform for modeling, simulation and analysis dynamics systems. It have an diagramming tool, a modules library, and forms editing framework. Is developed for processing mathematic via GNUOctave
Open Source Particle Image Velocimetry and PIV Analysis
OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.
Modelling the perception of flight dispatchers
(audio, video, image) Multimedia Multimodal Information Retrieval
audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc.
This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.