Search Results for "executable"
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Showing 31 open source projects for "executable"
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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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Go Examples
Go(lang) examples
...If you want even more Golang examples, you can take a look at my other go repositories at GitHub. To execute a Golang program, write go run at the cli followed by the name of the file. You also can convert the file to a binary executable program by the command go build. One great aspect of Golang is, that you can start go applications via go run name.go, but also compile it to an executable with go build name.go. -
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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. -
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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AWS Lambda for Go
Libraries, samples and tools to help Go developers develop AWS Lambda
...Preparing a binary to deploy to AWS Lambda requires that it is compiled for Linux and placed into a .zip file. Windows developers may have trouble producing a zip file that marks the binary as executable on Linux. To create a .zip that will work on AWS Lambda, the build-lambda-zip tool may be helpful. -
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Matplot++
Matplot++: A C++ Graphics Library for Data Visualization
Data visualization can help programmers and scientists identify trends in their data and efficiently communicate these results with their peers. Modern C++ is being used for a variety of scientific applications, and this environment can benefit considerably from graphics libraries that attend the typical design goals toward scientific data visualization. Besides the option of exporting results to other environments, the customary alternatives in C++ are either non-dedicated libraries that... -
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Linguist
Detect blob languages, suppress generated files and generate graphs
...Linguist uses charlock_holmes for character encoding and rugged for libgit2 bindings for Ruby. These components have their own dependencies. A repository's languages stats can also be assessed from the command line using the github-linguist executable. Without any options, github-linguist will output the breakdown that correlates to what is shown in the language stats bar. -
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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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Nub
The fast all-in-one Node.js toolkit
Nub is an all-in-one toolkit for Node.js that aims to streamline the JavaScript and TypeScript development experience without replacing Node itself. Written in Rust, it combines multiple developer utilities into a single binary capable of running scripts, managing dependencies, and provisioning Node installations. The project takes a TypeScript-first approach and allows developers to execute TypeScript files directly while continuing to use their preferred package managers and existing Node... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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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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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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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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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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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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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MELO
Machine Executable Language Ontology (MELO)
This project is intended to fill the gap between the semantic web and the mainstream of software engineering, especially to integrate the semantic web with programming languages, and find an ontological representation of programming languages, including abstract syntax code execution, and global interoperability in execution environments. The machine executable language is modelled in OWL 2 DL using OWL API in C++ developed in this project. -
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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.
