Search Results for "model-builder"

Scale your models, not your boilerplate with PyTorch Lightning! PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and...

An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services.

Tabnine is an AI-powered code completion extension trusted by millions of developers around the world. Whether you’re just getting started as a developer or if you’ve been doing it for decades, Tabnine will help you code twice as fast with half the keystrokes – all in your favorite IDE. Whether you call it IntelliSense, intelliCode, autocomplete, AI-assisted code completion, AI-powered code completion, AI copilot, AI code snippets, code suggestion, code prediction, code hinting, or...

...It uses data from the Internet Movie Database in combination with IMDbPY as backend. A graphical user interface written in pyQt allows the user to link multiple entities together as model for the generation process. The big four entities are Title, Person, Company and Character. Many attributes can be chosen for adding to the output .pl file. Three types of constraints on attributes are available to limit the output: an availability constraint, a range constraint and a value constraint. It works with both MySQL and PostgreSQL as database backend.

xot is an XML-based data model description framework whose main purpose is to allow developers to describe data models in a common language and then generate useful things from it, such as SQL commands for creating databases, database documentation, and g

You specify a desired domain-logic in UML, optionally some parts in Python, from scratch or reused. This custom application model is dynamically executed or updated. - Aeonic is a project to develop that kind of MDD technology for modern server apps.

A RAD GUI Building IDE for wxPython.

The CCM Tools are CASE tools used for generating CORBA components, test components, and test programs based on source IDL files. Various target languages can be generated. Scripting language wrappers can also be generated to enable rapid prototyping.

Executable UML command-line interpeter and metamodel. Intended future import-export compatibility for proprietary xtUML and iUML metamodels and model compilers. Emphasis on analysis/implementation separation and parallel processing implementations.

Coral is a tool and a development platform to create and transform models and modeling languages. It can be used to edit UML models, to develop editors for other modeling languages and to implement MDA and QVT-like model transformations.

The ULM.gen project is a framework that help building and customizing source-code generators from a UML model expressed as XML documents, using generation templates. It also provides tools for synchronization with UML modelers such as IBM Rational Rose.

Pure Python implementation of GOLD Parser Engine. GOLD Parser Engine is a LALR(1) parser with DFA tokenizer. It uses compiled grammar table generated by GOLD Parser Builder (not included - available on http://www.devincook.com/goldparser)

Abeni is a GUI utility for creating 'ebuild' files for the Gentoo Linux distribution.

Pymerase is a tool intended to generate a python object model, relational database, and an object-relational model connecting the two. However it has been extended to also output webpages and can be easily extended to output whatever else you might like.

Grab this to try your hand at developing a tool for Allura. Currently supports: - python package setup - simple per-project-installable Tool - simple Ming/MongoDB model - simple TurboGears Controllers - simple Jinja templates

...Thanks for checking it out! PROTON aims at easing server-side development for all Python enthusiasts. Essentially, by running a shell command, developer will auto generate necessary Model, Controller and APIs! All of this with connectivity to Transactional Databases (PROTON supports Postgresql, MySQL & SQL Server),caching (Redis middleware), Auto generated OpenAPI specs & descriptive logging! One command, to get a production ready server-side stack!