Search Results for "loops"
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Showing 111 open source projects for "loops"
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LoopVectorization.jl
Macro(s) for vectorizing loops
LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning. -
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ProgressMeter.jl
Progress meter for long-running computations
ProgressMeter.jl is a lightweight Julia package that provides customizable progress bars for long-running loops and computations. It allows developers to track the progress of tasks with real-time visual feedback in the terminal, making it easier to monitor performance, debug slow operations, or report computational progress in user-facing applications. -
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julep
A new DSL and server for AI agents and multi-step tasks
Julep is a platform for creating AI agents that remember past interactions and can perform complex tasks. It offers long-term memory and manages multi-step processes. Julep enables the creation of multi-step tasks incorporating decision-making, loops, parallel processing, and integration with numerous external tools and APIs. While many AI applications are limited to simple, linear chains of prompts and API calls with minimal branching, Julep is built to handle more complex scenarios. -
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Optuna
A hyperparameter optimization framework
...You can check the optimization history, hyperparameter importances, etc. in graphs and tables. You don't need to create a Python script to call Optuna's visualization functions. Automated search for optimal hyperparameters using Python conditionals, loops, and syntax. Efficiently search large spaces and prune unpromising trials for faster results. Parallelize hyperparameter searches over multiple threads or processes without modifying code. -
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quicktemplate
Fast, powerful, yet easy to use template engine for Go
...The library is designed to be simple and lightweight, allowing developers to integrate it easily into existing projects. It supports features such as variable interpolation, loops, and conditional rendering, providing flexibility while maintaining speed. Quicktemplate is particularly useful for generating HTML, JSON, or other structured outputs in web applications. Overall, it offers a performance-focused alternative to conventional templating engines. -
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NFH Self-Improvement Loop
Minimal adversarial framework for AI agent self-modification
NFH Self-Improvement Loop is a conceptual framework and implementation designed to model continuous self-improvement cycles using AI systems. It focuses on creating feedback loops where outputs are evaluated, refined, and reintroduced into the system for further improvement. The project emphasizes iterative learning, allowing systems to evolve over time through repeated evaluation and adjustment. It can be applied to areas such as content generation, decision-making, and personal productivity systems. The framework encourages structured reflection and optimization, ensuring that each iteration builds upon previous results. ... -
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tsup
The simplest and fastest way to bundle your TypeScript libraries
tsup is a zero-config TypeScript/JavaScript bundler focused on developer speed and sensible defaults. It builds on extremely fast tooling under the hood to deliver near-instant feedback loops even in large monorepos. The design goal is to let you publish modern libraries without hand-crafting long build scripts: point it at an entry file and it emits multiple targets, formats, and type declarations. It handles common library needs out of the box—like generating both ESM and CJS, bundling assets, and preserving or treeshaking dependencies—while staying flexible through minimal flags. ... -
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getoptions
An elegant option/argument parser for shell scripts
getoptions is a POSIX-compliant shell script library designed to simplify command-line option parsing. It provides an elegant and extensible way to handle both short and long options in shell scripts without relying on external dependencies. -
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Three.js Skills for Claude Code
Collection of Three.js skill files
Three.js Skills for Claude Code repository is a curated collection of modular skills and educational code aimed at helping developers learn and apply Three.js, the popular JavaScript library for 3D graphics on the web. It groups foundational lessons, examples, and utilities that make it easier to set up 3D scenes, work with cameras, lighting, materials, shaders, and animation loops, and handle user interactions in a browser context. The project functions as a toolbox of practical snippets and guided examples that bridge the gap between reading documentation and building interactive 3D elements such as animated objects, interactive visualizations, and immersive web experiences. Its structured approach supports developers ranging from beginners just learning the Three.js API to more experienced coders aiming to implement sophisticated materials or shader effects. -
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Liquid
Liquid markup language. Safe, customer facing template language
Liquid is a secure, open-source templating language created by Shopify in Ruby. It enables embedding logic (loops, conditionals, filters) within safe, customer-editable templates. Commonly used for rendering storefronts, emails, and static site generation in Shopify and Jekyll-based systems. -
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InkOS
Autonomous novel writing CLI AI Agent
...This design makes it particularly suited for complex storytelling tasks that require consistency, tone management, and structural planning across long outputs. The platform likely incorporates feedback loops where agents critique and revise each other’s work, simulating editorial processes found in traditional publishing. It emphasizes scalability, enabling users to generate large volumes of narrative content with minimal manual intervention. -
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Nushell
A new type of shell
NuShell (often shortened to “Nu”) is a modern, cross-platform shell written in Rust that treats all data as structured tables rather than plain text. It supports pipelines on rich typed data, has built-in commands for JSON/CSV/SQL/excel, and offers scripting, autocompletion, scoped variables, and strong error handling—bridging the gap between shell scripting and programming. -
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Luvit Lua
Bare libuv bindings for lua
...Each thread is assumed to load the library from a different lua_State. Luv will create a unique uv_loop_t for each state. You can't share uv handles between states/loops. -
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WWWBasic
wwwBASIC is an implementation of BASIC that runs on Node.js & the Web
...The interpreter compiles BASIC source code into JavaScript at load time, enabling efficient execution within modern web environments without requiring external emulators or plugins. It supports traditional BASIC constructs such as loops, conditionals, and I/O operations, along with 24-bit color graphics functions (PSET, LINE, CIRCLE) and input handling (INKEY$, GETMOUSE). wwwBASIC brings retro programming into the modern web era, making it ideal for educational purposes, historical software preservation, and interactive demonstrations -
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Python-programming-exercises
100+ Python challenging programming exercises
...It is designed to help learners practice problem solving through short exercises rather than full applications. The exercises cover fundamentals such as strings, numbers, loops, lists, dictionaries, functions, regular expressions, file handling, classes, generators, and algorithmic thinking. Many problems include both a prompt and a suggested solution, making the repository useful for self-study and interview-style practice. The project is especially helpful for beginners who already know basic syntax and want structured repetition. ... -
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StaticArrays.jl
Statically sized arrays for Julia
...It is particularly useful in numerical computing where small fixed-size matrices or vectors are used frequently, such as in robotics, physics simulations, or linear algebra. StaticArrays eliminate dynamic memory allocation overhead and enable compile-time optimizations for performance close to hand-written loops. -
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Hono
Web framework built on Web Standards
Hono is a small, simple, and ultrafast web framework built on Web Standards. It works on any JavaScript runtime: Cloudflare Workers, Fastly Compute, Deno, Bun, Vercel, AWS Lambda, Lambda@Edge, and Node.js. The router RegExpRouter is really fast. The hono/tiny preset is under 14kB. Using only Web Standard APIs. Works on Cloudflare, Fastly, Deno, Bun, AWS, or Node.js. The same code runs on all platforms. Hono has built-in middleware, custom middleware, third-party middleware, and helpers.... -
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tqdm
A Fast, Extensible Progress Bar for Python and CLI
tqdm is a fast, extensible progress bar for Python and CLI that enables you to see the progress of your loops in a clear and smart way. Simply wrap any iterable with tqdm(iterable), and sit back and watch that progress meter go! tqdm can be wrapped around any iterable, or executed as a module with pipes. Just by inserting tqdm (or python -m tqdm) between pipes will pass through all stdin to stdout while printing progress to stderr. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
...The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. It covers topics like implementing backpropagation from scratch, understanding convolutional and recurrent networks, building simple training loops, and exploring real datasets with hands-on code. This collection makes abstract theoretical ideas concrete by walking learners through real code and tangible outcomes, helping demystify parts of machine learning that often feel opaque in purely textbook settings. -
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FunctionalPlus
Functional Programming Library for C++
Great code should mostly be self-documenting, but while using C++ in reality you can find yourself dealing with low-level stuff like iterators or hand-written loops that distract from the actual essence of your code. FunctionalPlus is a small header-only library supporting you in reducing code noise and in dealing with only one single level of abstraction at a time. By increasing brevity and maintainability of your code it can improve productivity (and fun!) in the long run. It pursues these goals by providing pure and easy-to-use functions that free you from implementing commonly used flows of control over and over again. -
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Autograd
Efficiently computes derivatives of numpy code
Autograd can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation), which means it can efficiently take gradients of scalar-valued functions with respect to array-valued arguments, as well as forward-mode differentiation, and the two can be composed arbitrarily. ... -
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eframe template
The easy way to make a Rust app with a GUI
...It provides a ready-to-use structure for creating desktop or web-based applications with immediate-mode graphical interfaces. The template includes essential components such as application setup, rendering loops, and example UI elements, allowing developers to start building applications quickly. It is designed to demonstrate best practices for structuring eframe projects, making it useful for both beginners and experienced developers. The template also supports cross-platform deployment, enabling applications to run on multiple operating systems. ... -
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Images.jl
An image library for Julia
JuliaImages (source code) hosts the major Julia packages for image processing. Julia is well-suited to image processing because it is a modern and elegant high-level language that is a pleasure to use, while also allowing you to write "inner loops" that compile to efficient machine code (i.e., it is as fast as C). Julia supports multithreading and, through add-on packages, GPU processing. JuliaImages is a collection of packages specifically focused on image processing. It is not yet as complete as some toolkits for other programming languages, but it has many useful algorithms. ... -
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lo
A Lodash-style Go library based on Go 1.18+ Generics
...As expected, benchmarks demonstrate that generics are much faster than implementations based on the "reflect" package. Benchmarks also show similar performance gains compared to pure for loops. In the future, 5 to 10 helpers will overlap with those coming into the Go standard library (under package names slices and maps). I feel this library is legitimate and offers many more valuable abstractions. -
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Underscore.js
JavaScript's utility belt
...It offers map/filter/reduce, deep-cloning, templating, object traversal, function binding, and more, which makes it easier to write concise, expressive code rather than verbose loops and conditional logic. Many other libraries and frameworks (including Backbone) historically depended on or partnered with Underscore for their utility functions. Even though ES6+ and Lodash have overshadowed some of its role, Underscore remains influential and educational for how to design utility APIs.
