MLPACK is a C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression and least-angle regression.
LifeV is a finite element (FE) library providing implementations of state of the art mathematical and numerical methods. It serves both as a research and production library. It has already been used in medical and industrial contexts to simulate fluid structure interaction and mass transport. LifeV is the joint collaboration between four institutions: École Polytechnique Fédérale de Lausanne (CMCS) in Switzerland, Politecnico di Milano (MOX) in Italy, INRIA (REO, ESTIME) in France, and Emory University (Sc. Comp) in the U.S.A.
Linux Programming Tools is a collection of programming tools that help with debugging and performance tuning. It currently includes papi++, a C++ wrapper around PAPI that helps fine-tune C++ code for performance and measure cache misses, branch mispredictions, and so on, and mtrace, an interposition library building upon mtrace(3) that tracks memory leaks with the call stack of the allocations.
The OODBMS/DBMS ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. This is an extension of the ODBMS concept according to ODMG 3. It provides a number of enhanced features based on natural language analysis. Beside the database kernel, a number of tools are provided for database design, documentation, and fast development. ODABA provides a powerful interface (C++, .NET) and an ODABA Script Interface (OSI), a C++/JAVA like scripting language, which provides easy access to the database.
LZHAM is a general purpose lossless data compression library that borrows many ideas from LZMA, but purposely makes several key tradeoffs that favor decompression speed over compression ratio. LZHAM's compression ratio is typically within .5% of LZMA, but decompresses 2-3 times faster. LZHAM's compressor is heavily threaded in a way that does not sacrifice compression ratio. The decompressor supports streaming and memory to memory decompression, and is designed to be particularly fast on embedded devices, handhelds, and game console platforms.
The Open Game Libraries is a collection of separately usable C++ libraries for creating games. It provides OpenGL window management, zip file management, OpenAL audio management, a developer console window, input management, bitmapped fonts with Unicode and kerning support, image loading and saving, model loading and importing, and generic classes and objects for game development such as math and text processing.
nyu is a combination of modern academic approaches to parsing formal grammars from PEGs and expression grammars that represents the new state of the art in parser generators. nyu grammars are written in a powerful language based on PEGs (parsing expression grammars) but with modifications to allow both the AST and the parser to be specified intuitively in a single grammar. nyu outputs parsers that take advantage of the chilon::parser meta-programming library for C++. The generated parsers are almost as concise and readable as the input grammars, yet perform as well as hand-written C code. nyu ASTs are built using tuples, variant types, and lists, and allow self referential parsers and AST nodes to be manipulated. Advanced features such as hashed containers and grammar inheritance are also possible and well tested. nyu is currently powerful enough to deal with complex grammars and bootstraps its own parser.