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The ONNX Runtime Mobile package is a size optimized inference library for executing ONNX (Open Neural Network Exchange) models on Android. This package is built from the open source inference engine but with reduced disk footprint targeting mobile platforms. To minimize binary size this library supports a reduced set of operators and types aligned to typical mobile applications. The ONNX model must be converted to ORT format in order to use it with this package. See https://onnxruntime.ai/docs/reference/ort-format-models.html for more details.

Redact PDF documents. If you have to share PDFs with different departments or send them out of house, but they include some confidential, sensitive information which should not be shared, pdfSweep is your solution. Redact a PDF containing sensitive, confidential information, such as personal medical information, account numbers, national identification numbers, personal details or social security numbers in a reliable and secure way. Data redaction with pdfSweep removes such data including any underlying information, making it impossible for such information to be recovered. With pdfSweep you can also redact drawings or parts of drawings you do not want your competition to see. PDF Data redaction with pdfSweep gives you the piece of mind that your companies confidential information remains just that, confidential.

This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "minimum description length" (MDL) heuristic. More details on this algorithm can be found in the book "Grammatical Inference" (https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.

This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "evidence-driven state merging" (EDSM) heuristic. More details on this algorithm can be found in the book "Grammatical Inference" (https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.

scala-tptp-parser is a library for parsing the input languages of the TPTP infrastructure for knowledge representation and reasoning. The package contains a data structure for the abstract syntax tree (AST) of the parsed input as well as the parser for the different language of the TPTP, see http://tptp.org for details. In particular, parser are available for: - THF (TH0/TH1): Monomorphic and polymorphic higher-order logic, - TFF (TF0/TF1): Monomorphic and polymorphic typed first-order logic, including extended TFF (TFX), - FOF: Untyped first-order logic, - TCF: Typed clause-normal form, - CNF: (Untyped) clause-normal form, and - TPI: TPTP Process Instruction language. The parser was initially based on v7.4.0.3 of the TPTP syntax BNF (http://tptp.org/TPTP/SyntaxBNF.html), but is continuously updated to keep track of TPTP language updates.

mXparser is a super easy, rich, fast and highly flexible math expression parser library (parser and evaluator of mathematical expressions / formulas provided as plain text / string). Software delivers easy to use API for JAVA, Android and C# .NET/MONO (Common Language Specification compliant: F#, Visual Basic, C++/CLI). *** If you find the software useful donation or purchase is something you might consider: https://mathparser.org/donate/ *** Online store: https://payhip.com/INFIMA *** Scalar Scientific Calculator, Charts and Scripts, Scalar Lite: https://play.google.com/store/apps/details?id=org.mathparser.scalar.lite *** Scalar Pro: https://play.google.com/store/apps/details?id=org.mathparser.scalar.pro *** ScalarMath.org: https://scalarmath.org/ *** MathSpace.pl: https://mathspace.pl/ ***

Java implementation of the Ziggurat algorithm for generating Gaussian distributed pseudorandom numbers. The Ziggurat algorithm is significantly faster than the more commonly encountered Polar method, and has some other desirable statistical properties. The ZigguratGaussian class is a Java port of the GNU Scientific Library's C implementation (Voss, 2005) of the Ziggurat method. In porting to Java, we have made several optimizations, the details of which can be found in the source code comments, which highlights any differences between this Java implementation and the C implementation on which it is based. This package also includes an implementation of the Polar Method, included to enable comparing speed advantage of the Ziggurat algorithm.

libssh is a C library that enables you to write a program that uses the SSH protocol. With it, you can remotely execute programs, transfer files, or use a secure and transparent tunnel for your remote programs. The SSH protocol is encrypted, ensures data integrity, and provides strong means of authenticating both the server of the client. The library hides a lot of technical details from the SSH protocol, but this does not mean that you should not try to know about and understand these details. This is the SSHAPI provider bridge for libssh, and uses JNA. Downloads and more information about libssh may be found at http://api.libssh.org/master/index.html. This library is deployed to SSHTools own Maven repository.