Search Results for "abc-map"

Swift is a high-performance, general-purpose programming language built with a modern approach to safety, performance, and software design patterns. With a clean and modern syntax, it offers seamless access to existing C and Objective-C code and frameworks. Swift makes it easy to write software that is incredibly fast and safe by design. It comes packaged with core features like flow control, data structures and functions, with high-level constructs like objects, protocols, closures, and...

...is significant for its high performance, which allows games and graphics demos to be written in a high-level language without the use of hand-written assembly language code. Action! language constructs were designed to map cleanly to 6502 opcodes. In 2015, Clinton Parker released the Action! 3.6 source code to the public under the terms of GPL. This project is intended to preserve the Action! source code, provide fixes for known bugs, and add new features in version 3.7. Join us at AtariAge https://forums.atariage.com/topic/217770-action-source-code for questions and discussions. ...

...also treats errors as plain values (strings/arrays) and removes inheritance in favour of what it calls “evolution over composition.” The language emphasises readability and pushing logic out into functions so cases remain simple. It includes concurrency via a map function that executes callbacks in parallel. The project is illustrative of Duffield’s vision: code should feel “magical to write” by removing what is unnecessary.

...is significant for its high performance, which allows games and graphics demos to be written in a high-level language without use of hand-written assembly language code. Action! language constructs were designed to map cleanly to 6502 opcodes. In 2015, Clinton Parker has release the Action! 3.6 source code to the public under the terms of GPL. This project is intended to preserve the Action! source code and to provide updates and fixes for known bugs.

...It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. Expectation-Maximization, pseudo-marginal and ABC methods, and message passing algorithms.