Search Results for "detection"

...It supports templates (such as the arc42 architecture template), reusable snippets, and modular documentation where different aspects (API docs, architecture, user guides) are composed. The toolchain also includes validation stages (e.g. sanity checks, broken link detection) to catch issues before publication.

apiDoc creates a documentation from API annotations in your source code. apiDoc gives you the ability to attach a version number to an API so you can easily track changes between versions. Creates an apiDoc of all files within dir myapp/, uses template from dir mytemplate/ and put all output to dir apidoc/. Without any parameter, apiDoc generate a documentation from all .cs .dart .erl .go .java .js .php .py .rb .ts files in current dir (incl. subdirs) and writes the output to ./doc/. apiDoc...

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.

In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utility around loading image data, optimizing and evaluating models, and scaling up to the cloud.