Search Results for "sparse"

...Bitarray used to detect existence without having to resort to hashing with hashmaps. Requires entities have a uint64 unique identifier. Two implementations exist, regular and sparse. Sparse saves a great deal of space but insertions are O(log n). There are some useful functions on the BitArray interface to detect intersection between two bitarrays. This package also includes bitmaps of length 32 and 64 that provide increased speed and O(1) for all operations by storing the bitmaps in unsigned integers rather than arrays.

...A reference, production-grade, implementation gateway server is also available in this repository. It's free software (AGPL) written in Go. A Docker image is provided. Current solutions for these problems (GraphQL, JSON:API's embedded resources and sparse fieldsets, etc.) are smart network hacks for HTTP/1. But these hacks come with (too) many drawbacks when it comes to HTTP cache, logs and even security. Fortunately, thanks to the new features introduced in HTTP/2, it's now possible to create true REST APIs fixing these problems with ease.

gopkg is a large community-driven repository of examples for Go’s standard library packages, created to fill the gap left by the relatively sparse official examples. The project organizes content so that each package has its own directory and each function within that package gets its own Markdown file with code examples. The idea is that developers can quickly look up “how do I actually use this function?” without digging through source code or scattered blog posts. The maintainer provides conventions for naming and formatting, and requires that submitted examples compile and run locally or on the Go Playground, which helps keep the collection reliable. ...

MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack