Search Results for "wpf code generator" - Page 4

pyclashie is a software developed in python to show graphic view of code dependencies in, virtually, any programming language. The idea is to analize directories of source code, and search for class hierarchy and dependencies, writing them to .dot files.

Infinite Monkeys is a code generator employing random generation and mutation of code to solve programming problems.

CheetahWizard is an extension of the Cheetah template engine and code generator. It makes easier the use of Cheetah for the generation of multiple documents from templates in a local environment and provides a Wizard-GUI to fill in necessary information t

Designed to aid in the conversion of Python modules to C extension modules while keeping the same interface into the module. This will make it easier to convert existing Python code into C code to give it a speed boost without changing to existing code

GLC generates python code with gtk bindings from Glade produced input files. This is a compile time approach to do the same thing as James Henstridge's runtime approach (libglade).

The aim of the CPyrol project is to create a complete Python interpreter written in C++ with minimal system requirements and a very clean codebase. I am working on this project mainly to gather experience with the current C++ standart (C++ 11) and with compiler development, it is not (yet) intended for practical usage. This project is at an early stage of development. Currently implemented is a Lexer, Parser and Code Generator for compiling Python code into CPython-compatible bytecode.

PySourceO is a revolutionary source code generator. All that is needed to make a program is to type in what program you want and PySourceO will give you a fully working program that fits your needs. We are creating a new algorithm for PySourceO.

Kirk is essentially a command line tool for locally generating clean HTML code with the help of kirk markup - "kirkup". One could also say that it's a content management system. We'll see once it starts to take form.

FLUX.1-schnell is a 12 billion parameter text-to-image model developed by Black Forest Labs, designed for high-quality image generation using rectified flow transformers. It produces competitive visual results with strong prompt adherence, rivaling closed-source models in just 1 to 4 inference steps. Trained using latent adversarial diffusion distillation, the model is optimized for both quality and speed. It is released under the Apache 2.0 license, allowing commercial, scientific, and...