Search Results for "machine"

Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. ...

Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed.

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SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info.

py-backwards is a transpiler that takes modern Python code (with newer syntax) and converts it to older Python versions so you can run it in legacy environments. For example, if you want to use f-strings, type annotations, or other Python 3.x niceties but have to deploy on a machine that only has an older interpreter, py-backwards rewrites your code to an equivalent, earlier syntax. It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and emitting compatible code. This allows teams to write forward-looking Python without immediately upgrading all their runtime environments. ...

RUG is an universal machine-friendly binary file generator. Together with suitable macro packages, it can be used to assemble executables for almost any known processor. The main goal is to build a backend for a future Scheme translator.

Low level programming language and compiler close to python. Intended for experiments with in processor design. Consists of language definition, compiler and simple cpu simulation written in python. The compiler can be adapted to different processors easily.