Projects

WEKA

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

PureData

PD (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical processing. It is the third major branch of the family of patcher programming languages known as Max (Max/FTS, ISPW Max, Max/MSP, jMax, etc.) originally developed by Miller Puckette and company at ... [More] IRCAM. The core of Pd is written and maintained by Miller Puckette and includes the work of many developers, making the whole package very much a community effort. [Less]

RapidMiner (YALE): Java Data Mining

RapidMiner (formerly YALE) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and analytics in business intelligence (BI). RapidMiner provides more than 400 data mining operators, a ... [More] graphical user interface (GUI), an online tutorial with hands-on data mining applications, a comprehensive PDF tutorial, many visualization schemes for data sets and data mining results, many different learning and meta-learning schemes ranging from decision tree and rule learners to neural networks, SVMs, ensemble methods, etc. RapidMiner is implemented in Java and available under GPL (GNU General Public License) as well as under a developer license (OEM license) for closed-source developers [Less]

Apache UIMA

claimed by Apache Software Foundation

Apache UIMA is an Apache-licensed open source implementation of the UIMA specification (that specification is, in turn, being developed concurrently by a technical committee within OASIS, a standards organization). We invite and encourage you to participate in both the implementation and ... [More] specification efforts. UIMA is a component framework for analysing unstructured content such as text, audio and video. It comprises an SDK and tooling for composing and running analytic components written in Java and C++, with some support for Perl, Python and TCL. [Less]

Delphi ASIO & VST Project

With these packages for Delphi the user can easily create VST plugins or ASIO applications within minutes. The included algorithms for filters and dynamics help to built effects without much knowledge of digital signal processing.

PyMVPA

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge ... [More] Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets. [Less]

CLAM

CLAM stands for C++ Library for Audio and Music and in Catalan means something like "a continuous sound produced by a large number of people as to show approval or disapproval of a given event". CLAM is a full-fledged software framework for research and application development in the Audio ... [More] and Music Domain. It offers a conceptual model as well as tools for the analysis, synthesis and processing of audio signals. [Less]

ClearTK

ClearTK is a toolkit developed at the Center for Computational Language and Education Research (CLEAR) at the University of Colorado at Boulder. ClearTK provides a framework for developing statistical natural language processing components in Java. It is based on the Apache UIMA framework for text ... [More] analysis, and provides: A rich feature extraction library A common interface and wrappers for popular machine learning libraries based on models such as maximum entropy, support vector machines and conditional random fields. Infrastructure for creating NLP components such as sequential taggers, chunkers, syntactic parsers, semantic role labeling, temporal resolution, etc. Collection readers for commonly used corpora wrappers for common NLP components such as the Snowball stemmer and OpenNLP sy [Less]

MARF:Modular Audio Recognition Framework

MARF is an open-source research platform and a collection of voice/sound/speech/text and natural language processing (NLP) algorithms written in Java and arranged into a modular and extensible framework facilitating addition of new algorithms. MARF can run distributedly over the network and may act ... [More] as a library in applications or be used as a source for learning and extension. [Less]

libforensics

LibForensics is a library for developing digital forensics applications. Currently it is developed in pure Python. After a majority of the code has been developed and stabilized, the bottlenecks will likely be converted into C-based modules. I'm looking for people to use and test the ... [More] framework. I've developed some sample Python tools (under the demo directory in the repository) that use various parts of the framework. Even if you're not a coder, feel free to experiment with the tools, and report any bugs you find. LibForensics requires Python version 3.1. You can get the latest version of Python from http://www.python.org News: Whats new - March 18, 2010 I've been working on the next major release (0.3). Several things have changed, including the data typing system (we now use ctypes instead of struct), more thorough unit testing, numerous bug fixes, and API documentation. Look for a major release in the next few weeks. Some basic factoids [Less]