Select a tag to browse associated projects and drill deeper into the tag cloud.
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.
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]
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]
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]
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.
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]
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]
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]
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]
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]