Search Results for "code spaces"
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Showing 11 open source projects for "code spaces"
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ts-blank-space
A small, fast, pure JavaScript type-stripper
...It supports a modern subset of TypeScript by erasing the types and replacing them with whitespace. That's it. It is not a type checker and does not perform any other code transformations. The underlying technique can improve build performance and simplify development. The implementation is pure TypeScript. It is simple enough to read and understand in a few minutes because it is only 700 lines of code and reuses the original TypeScript parser. The core idea is to use spaces as a substitute for type annotations. ... -
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that... -
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AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++)... -
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Hypothesis
The property-based testing library for Python
...Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests. -
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luaposix
Lua bindings for POSIX APIs
This is a POSIX binding for LuaJIT, Lua 5.1, 5.2, 5.3 and 5.4; like most libraries, it simply binds to C APIs on the underlying system, so it won't work on non-POSIX systems. However, it does try to detect the level of POSIX conformance of the underlying system and bind only available APIs. For a while, luaposix contained support for curses functionality too, but now that has its own lcurses repository again, where it is being maintained separately. -
6
Classnames
A simple javascript utility for conditionally joining classNames
...When you provide an object, the keys represent class names and the boolean values determine whether each class should be included in the final string. This reduces boilerplate and the risk of typos or stray spaces, especially in React, Vue, or other component-based UIs where dynamic styling is common. The utility is small and framework-agnostic, so it can be used in Node, browser code, or any bundler setup including Browserify and Webpack. It maintains backwards compatibility while evolving (for example, introducing polyfill requirements for older browsers in newer versions), and it ships with TypeScript bindings for better type safety. -
7
Dominate
Dominate is a Python library for creating and manipulating HTML docs
Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminates the need to learn another template language, and lets you take advantage of the more powerful features of Python. Dominate can also use keyword arguments to append attributes onto your tags. Most of the attributes are a direct copy from the HTML spec with a few variations. Through the use of the += operator and... -
8
Text Typesetting
Concise guide to better typography and formatting practices
Text-Typesetting is a concise guide to better typography and formatting practices for technical writing. It collects rules of spacing, punctuation, emphasis, and layout that improve readability, especially in documents mixing multiple languages or code. The repository focuses on consistent micro-typography—such as when to use non-breaking spaces, how to place punctuation around quotes, and how to format lists and headings. Examples show the before/after impact of small adjustments, making the guidance practical rather than theoretical. Because the recommendations are tooling-agnostic, they apply to Markdown, HTML, slides, and printed PDFs alike. ... -
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation... -
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The Elixir Style Guide
A community driven style guide for Elixir
...Use spaces around operators, after commas, colons and semicolons. Do not put spaces around matched pairs like brackets, parentheses, etc. Whitespace might be (mostly) irrelevant to the Elixir runtime, but its proper use is the key to writing easily readable code. -
11
ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer...
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