- 'Ikaros' is a framework for writing and running component-based simulators. It is currently used for simulations of brain areas and learning models, but is general enough to be easily used for any discrete-time simulation. A simulation consists of modules connected in the simulator, with connections specified in an XML file. There are socket-based hooks for adding a GUI. The package contains a number of modules and complete documentation for working with the framework.
- Infovore is designed to merge large data sets such as Freebase and DBpedia, producing 100% valid RDF output at high speed because it uses the Hadoop Framework
- KNIME [naim] is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network.
- librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
- MLPACK is a C++ machine learning library with 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 flexibility for expert users. MLPACK contains the following algorithms: Collaborative Filtering, Density Estimation Trees, Euclidean Minimum Spanning Trees, Fast Exact Max-Kernel Search (FastMKS), Gaussian Mixture Models (GMMs), Hidden Markov Models (HMMs), Kernel Principal Component Analysis (KPCA), K-Means Clustering, Least-Angle Regression (LARS/LASSO), Local Coordinate Coding, Locality-Sensitive Hashing (LSH), Logistic regression, Naive Bayes Classifier, Neighbourhood Components Analysis (NCA), Non-negative Matrix Factorization (NMF), Principal Components Analysis (PCA), Independent component analysis (ICA), Rank-Approximate Nearest Neighbor (RANN), Simple Least-Squares Linear Regression (and Ridge Regression), Sparse Coding, Tree-based Neighbor Search (all-k-nearest-neighbors, all-k-furthest-neighbors), Tree-based Range Search.
- Are you drowning in information, but starving for knowledge? Where do you keep your private remarks like ideas, personal plans, gift tips, how-tos, dreams, business vision, finance strategy, auto coaching notes? Loads of documents, sketches and remarks spread around the file system, cloud, web and Post-it notes? Are you affraid of your knowledge privacy? Are you able to find then once you create them? Do you know how are they mutually related when you read or write them? No? MindForger is open, free, well performing Markdown IDE which respects your privacy and enables security. MindForger is actually more than an editor or IDE - it's human mind inspired personal knowledge management tool.
- MuTE Toolbox
- A challenge for physiologists and neuroscientists is to map information transfer between components of the systems that they study at different scales, in order to derive important knowledge on structure and function from the analysis of the recorded dynamics. We propose a freeware MATLAB toolbox, MuTE (Multivariate Transfer Entropy), that implements four both Granger causality and transfer entropy estimators according to uniform and non-uniform embedding frameworks. The resulting eight methods can be easily compared showing all the pros and cons of the methodologies used to detect the directed dynamical information transfers. The toolbox provides a completely brand-new approach that bridges machine learning and information theory fields. MuTE is also able to perform bivariate and fully multivariate analyses. Furthermore, users can easily implement their own methods or change some features of the already existing approaches due to the modularity of the toolbox.
- My Knowledge Explorer
- my Knowledge Explorer uses the mKR (my Knowledge Representation) language to create, query and update mKB (my Knowledge Base). mKR is a useful mixture of English (subject, verb, object, preposition phrase) and the KornShell (variables, procedures, control structures). mKB can be a local user KB or an internet KB such as OpenCyc. The Redland RDF Library commands can be used to translate mKR to/from standard W3C languages such as Turtle and SPARQL.
- Natural Language Toolkit
- The NL Toolkit simplifies the construction of programs that process natural language and defines standard interfaces between the different components of an NLP system. NLTK includes graphical demonstrations, sample data, tutorials, and API documentation.
- Open BEAGLE
- Open BEAGLE is an evolutionary computation framework. It provides an Object-Oriented software environment enabling the implementation of almost any kind of evolutionary algorithm, such as genetic algorithms and genetic programming. The only necessary condition is to have a population of individuals to which a sequence of evolving operations is iteratively applied. So far, two specialized frameworks have been implemented: genetic algorithms and genetic programming. An evolution strategies framework is also planned for a future release.
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