Download PDF version Duration: 3 days Labs: Yes Language: English Level: Intermediate As machine learning and artificial intelligence algorithms grow more sophisticated, the need for a high-performance development environment grows greater and greater. Julia is a programming language designed to ...
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到基于 Julia IR 的源到源自动微分框架 Zygote,再到基于 LLVM IR 的支持多语言的自动微分框架 Enzyme,以及今年提出的支持更高效高阶微分生成的 Diffractor,还有刘金国博士基于可逆编程 (reversible programming) NiLang 打造的自动微分工具,这些不同基于设计理念但都非常优秀的自动微分框架...
到基于 Julia IR 的源到源自动微分框架 Zygote,再到基于 LLVM IR 的支持多语言的自动微分框架 Enzyme,以及今年提出的支持更高效高阶微分生成的 Diffractor,还有刘金国博士基于可逆编程 (reversible programming) NiLang 打造的自动微分工具,这些不同基于设计理念但都非常优秀的自动微分框架的存在,实在很容易让人陷入...
Julia is an open-source, high-level programming language designed for high-performance numerical and scientific computing.Built with speed and usability in mind, it combines the ease of dynamic languages like Python with the efficiency of statically typed languages like C. Julia Language for Windows...
JuliaHub, founded by the creators of the Julia programming language, has made significant strides in the realm of technical computing and scientific machine learning since its inception in 2015. The platform has evolved into a comprehensive solution for developers and researchers, providing tools that...
We want something as usable for general programming as Python, as easy for statistics as R, as natural for string processing as Perl, as powerful for linear algebra as Matlab, as good at gluing programs together as the shell. Something that is dirt simple to learn, yet keeps the most ...
In this learning path, you will learn to use an interesting and dynamic programming language—Julia! This book is a combination and curation of the three separate books by the three authors. Julia:High Performance Programming 2025 pdf epub mobi 电子书 Julia:High Performance Programming 2025 pdf ...
The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems. With the great support from Julia developers, especially the developers of the JuMP—Julia for Mathematical Programming—package, ...