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Any textual language. DMS Software Reengineering Toolkit. Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP.
NAnt, a tool similar to Ant for the .NET Framework. Ninja, a small build system focused on speed by using build scripts generated by higher-level build systems. Perforce Jam, a build tool by Perforce, inspired by Make. Qt Build System. Rake, a Ruby -based build tool. sbt, a build tool built on a Scala -based DSL.
BlackBox Component Builder. BlackBox Component Builder is an integrated development environment (IDE) optimized for component-based software development [5] developed by a small spin-off company, Oberon microsystems AG, [1] of ETH Zurich in Switzerland. The IDE consists of development tools, a library of reusable components, a framework that ...
Bayesian optimization. Bayesian optimization is a sequential design strategy for global optimization of black-box functions [1][2][3], that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions. With the rise of artificial intelligence innovation in the 21st century, Bayesian optimizations have ...
Derivative-free optimization (sometimes referred to as blackbox optimization) is a discipline in mathematical optimization that does not use derivative information in the classical sense to find optimal solutions: Sometimes information about the derivative of the objective function f is unavailable, unreliable or impractical to obtain.
Jinja (template engine) Jinja is a web template engine for the Python programming language. It was created by Armin Ronacher and is licensed under a BSD License. Jinja is similar to the Django template engine but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language ...
LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
It is free and open-source software, and can be implemented with Python Tools for Visual Studio, which is a free and open-source extension for Microsoft's Visual Studio IDE. [2][3] IronPython is written entirely in C#, although some of its code is automatically generated by a code generator written in Python.