Search Results for "executable"
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26 projects for "executable" with 2 filters applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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LIEF
LIEF - Library to Instrument Executable Formats (C++, Python, Rust)
LIEF (Library to Instrument Executable Formats) is a cross-platform library that enables parsing, modifying, and abstracting executable formats such as ELF, PE, and Mach-O. It's widely used in reverse engineering and binary analysis. -
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jvm-mon
Console-based JVM monitoring tool
Console-based JVM monitoring - when you just want to SSH into a server and see what’s going on. jvm-top lets you monitor your JVM server applications from the terminal. -
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mvnd
Apache Maven Daemon
Apache Maven is a software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information. -
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Barfi
A Python visual Flow Based Programming library
...Each barfi.Block has some properties that enable the FBP and schema building. Firstly, each Block has Input and Output interfaces that link to other Blocks. Each Block can carry an executable function, that is specified by the user. This function can access/get data from the Input interface, perform computations or calculations, and set the Output interface. In general, Barfi is an abstraction of Graphical Programming, Flow-Based Programming, or Node programming. Where the Block is synonymous to a Node, and a Link (connection) is synonymous with an Edge. ... -
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Cosmopolitan
Build-once run-anywhere c library
...Cosmopolitan can be compiled from source on any Linux distro. GNU make needs to be installed beforehand. This is a freestanding hermetic repository that bootstraps using a vendored static gcc9 executable. No further dependencies are required. -
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DynaMix
A new take on polymorphism
DynaMix (Dynamic Mixins) is an alternative take on object-oriented programming and dynamic polymorphism. It lets users compose and modify polymorphic objects at run time. The main target language is C++, but C is also supported. The library is a means to create a project's architecture rather than achieve its purpose. It helps with extensibility, readability, scalability, and interoperability. It focuses on maximal performance and minimal memory overhead. The library uses the type... -
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aosabook
The Architecture of Open Source Applications
...The material is aimed at junior developers who want to learn architectural thinking, as well as more experienced programmers who want to compare approaches across systems. The repository includes documentation and production files rather than a single executable application. It is best understood as an open publishing project for software architecture learning. -
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Think Bayes 2
Text and code for the second edition of Think Bayes, by Allen Downey
Think Bayes 2 is the companion repository for the second edition of Allen B. Downey’s introduction to Bayesian statistics. It teaches Bayesian reasoning through computational methods instead of relying mainly on symbolic mathematics. Each chapter is presented as a Jupyter notebook where readers can study the text, run examples, and complete exercises. Separate solution materials help learners check their work and explore alternative approaches. The lessons cover probability distributions,... -
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frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can run multiple predictions in parallel, thus utilizing as many CPUs as you like to improve the overall prediction throughput of your application/pipeline. -
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Claude Code Slash Commands
A collection of production-ready slash commands for Claude Code
Claude Code Slash Commands is a companion framework focused on defining structured command systems that can be used by AI agents or automation tools to perform specific actions. It provides a standardized way to describe commands, their inputs, and expected outputs, enabling consistent interaction between user instructions and executable operations. The project is designed to work alongside agent frameworks, acting as the execution layer that translates abstract intents into concrete actions. It emphasizes clarity and predictability by enforcing schemas and structured definitions for each command, reducing ambiguity in automated workflows. Developers can define custom commands tailored to their applications, making it adaptable to a wide range of use cases including automation, scripting, and AI-assisted development. ... -
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AL-IV
ALFOUR Programming language. Simple, safe, power, multi-platform.
A programming language AL-IV (ALFOUR) is a high-level imperative object oriented programming language with minimal introduction level, easy porting to any platform claiming a very high level of safety and stability, with a controllable level of code protection, high efficiency of an executable code, full independence from a target platform, minimal enter level. -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
Prompt-eng-interactive-tutorial is a comprehensive, hands-on tutorial that teaches the craft of prompt engineering with Claude through guided, executable lessons. It starts with the anatomy of a good prompt and moves into techniques that deliver the “80/20” gains—separating instructions from data, specifying schemas, and setting evaluation criteria. The course leans heavily on realistic failure modes (ambiguity, hallucination, brittle instructions) and shows how to iteratively debug prompts the way you would debug code. ... -
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ScribeJava
Simple OAuth library for Java
Welcome to the home of ScribeJava, the simple OAuth client Java lib! That single line (added newlines for readability) is the only thing you need to configure ScribeJava with LinkedIn's OAuth API for example. -
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Smallest possible
Smallest possible syntactically valid files of different types
Smallest possible is a curated repository whose aim is somewhat playful yet useful: collecting the “smallest possible syntactically valid files” across a large variety of programming, scripting, markup, and binary file types. For example, the repository might include the minimal valid HTML file, minimal valid PDF, minimal valid executable, minimal valid image file, and so on. It serves both as a curiosity and as a utility for developers and testers who might need tiny stub files for testing tooling, parsing, or file-type handling. Because each file targets minimal syntactical correctness, the repository is valuable for edge-case testing (e.g., parsers handling smallest valid inputs). ... -
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Issues for GitHub
Just a place to track issues and feature requests
...Developers browsing the repository can explore historical requests and community discussions about GitHub usability. Overall, the repository functions as a meta level feedback log rather than an executable software project. -
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kotlin-libui
Kotlin/Native interop to libui: a portable GUI library
Kotlin/Native bindings to the libui C library. libui is a C lightweight multi-platform UI library using native widgets on Linux (Gtk3), macOS, and Windows. Using this binding you can develop cross-platform but native-looking GUI programs, written in Kotlin, and compiled into small native executable files. Cross-platform build is automated using Travis for Linux and macOS targets, and AppVeyor for Windows targets. Just create a release on GitHub, and executable files for all 3 major desktop platforms will be compiled and attached to the release. -
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The Neural Process Family
This repository contains notebook implementations
...They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance. -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
...Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. By combining narrative explanations with executable code, it shortens the path from theory to working prototypes. -
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Swagger-to-GraphQL
Swagger to GraphQL API adapter
Swagger-to-GraphQL converts your existing Swagger schema to an executable GraphQL schema where resolvers perform HTTP calls to certain real endpoints. It allows you to move your API to GraphQL with nearly zero effort and maintain both REST and GraphQL APIs. Our CLI tool also allows you get the GraphQL schema in Schema Definition Language. This library will fetch your swagger schema, convert it to a GraphQL schema and convert GraphQL parameters to REST parameters. -
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Incanter
Clojure-based, R-like statistical computing and graphics environment
...Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest build of Incanter, which includes all the necessary dependencies, and unpack the file (if you would like to build it from source, read Building Incanter). You also might need to install libgfortran3 library, which is required for jblas, which is powering matrix operations (see jblas wiki for more details). -
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Unix GNU Windows
Packages to create a Unix like environment under MS-Windows
At this point this project is mainly wpkg which is a replica of dpkg and apt-get that works under Microsoft Windows and Unices. Since version 0.7.0 it works very nicely as it includes most of the important functionality of dpkg (i.e. most everything except dselect functions.) Otherwise, the Unix GNU Windows is expected to be a large set of packages that wpkg can handle. Packages of all the software available under MinGW and GnuWin32 so you can painlessly build a complete Unix like... -
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Gulp-Cheatsheet
A cheatsheet for gulp.js
The gulp-cheatsheet repository is a compact, printable reference guide for Gulp.js, summarizing common commands, patterns, and usage examples in both JavaScript and CoffeeScript. It’s designed to be easily printed or posted beside a workstation, acting as a quick lookup for task definitions, streams, watching, and build workflows. The cheatsheet covers essential topics like Gulp installation, defining tasks, piping streams, watchers, and handling asynchronous tasks. It includes multilingual... -
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UML 2 Statemachine for C++
UML 2 Statemachine for C++ is a development framework with DSL support
UML 2 Statemachine Code Generator is a developer framework for an easy implementation of statemachine based applications. Here, with this framework only one Domain-specific language (DSL) specification is necessary to create executable codes for Linux, Mac OS X, and Microsoft Windows. With this framework you save a lot of time and effort during implementation; also you have an always valid - based on a well-defined C++ standard - generated code with high quality. -
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Converts any templates into executable PHP code and stores it for later use, e.g. HTML, RSS or XML. Handles scalar and array values, blocks, loops, control structures, includes, extensions/functions, filters, build in i18n functionality, caching
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Elice is a free compiler for programs written in the proprietary language PureBasic. It compiles those programs to C++ and then uses g++ to generate an executable. This is an old version. Development has moved to https://gitorious.org/elice/
