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Showing 5 open source projects for "six"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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MLton
A whole-program optimizing compiler for Standard ML
MLton is a whole-program optimizing compiler for Standard ML. MLton generates small executables with excellent runtime performance, utilizing untagged and unboxed native integers, reals, and words, unboxed native arrays, fast arbitrary-precision arithmetic based on GnuMP, and multiple code generation and garbage collection strategies. In addition, MLton provides a feature rich Standard ML programming environment, with full support for SML97 as given in The Definition of Standard ML... -
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SableCC is a parser generator which generates object-oriented frameworks for building compilers, interpreters and other text parsers. SableCC keeps a clean separation between machine and user code which leads to a shorter development cycle.
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A universal parsing tool and source code generator for generative programming. It extracts useful information by parsing (BNF parser generator) and generates source code by several techniques, by interpreting a scripting language for flexibility.
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LR(k) parser generator (k>=0) implementation.
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