Search Results for "documentation"

...Get production-ready code. With automatic interactive documentation. Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database.

...Serialization that supports both ORM and non-ORM data sources. Customizable all the way down - just use regular function-based views if you don't need the more powerful features. Extensive documentation, and great community support. Used and trusted by internationally recognised companies including Mozilla, Red Hat, Heroku, and Eventbrite. REST framework is a collaboratively funded project. If you use REST framework commercially we strongly encourage you to invest in its continued development by signing up for a paid plan.

SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep...

SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles...

Multi-Syntax-Version and Multi-Implementation API reference documentation generator. Supports local and remote sources.

Autotoolset is both a colection of small tools (scripts, emacs macros, etc.) to simplify project development with autoconf/automake/libtool/texinfo/emacs and a good documentation on how to get started on these tools and the whole GNU software model.

Analyzes programs (and projects) written in Cobol and generates information (HTML) for its easy reading, understanding and analysis.

A GUI inspector for GObject Introspection Repository .gir file.

Buildbot is a system to automate the compile/test cycle required by most software projects. Buildbot is no longer hosted on SourceForge. See http://buildbot.net for links and documentation, and http://github.com/buildbot for the source.

A simple program for creating documentation of Python files. Using ANTLR library it creates a HTML document with information about all classes, it's methods, class fields and attributes. Also it creates documentation of all functions in this file.

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.

This project has moved to: http://vger.kernel.org/vger-lists.html#linux-kbuild Here, you can find the old mailing list, files and website regarding: Linux kernel build. Patches, documentation, and auxilary programs related to the kernel configuration