Search Results for "engineering" - Page 16
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Showing 16938 open source projects for "engineering"
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1
apfel
Apple Intelligence from the command line
...Apfel may include utilities or structural patterns that streamline development workflows, particularly in environments where speed and clarity are more important than feature richness. Its architecture likely avoids over-engineering, making it suitable for small projects, prototypes, or educational purposes. The project encourages direct interaction with code rather than relying on extensive abstraction layers, giving developers more control over implementation details. -
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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. ... -
3
Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code
Apollo-11 hosts the original Apollo 11 Guidance Computer (AGC) source code for the Command Module and Lunar Module, faithfully transcribed from historical listings. It is written in AGC assembly and reflects 1960s software engineering practices, complete with comments from the original programmers. The code is both a cultural artifact and a technical reference, illustrating how limited memory and processor constraints shaped algorithms and system design. Developers can examine navigation routines, guidance logic, and task scheduling in an environment with no luxury features—everything is explicit and resource-aware. ... -
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Semaphore
Semaphore is an open source CI/CD platform
Semaphore is a continuous integration and delivery platform that streamlines building, testing, and deploying software with an emphasis on speed and developer experience. Pipelines are defined declaratively and support parallel jobs, dependency fan-outs, and matrix builds to exercise many environments at once. First-class Docker and Kubernetes workflows, along with layer caching and artifacts, help keep containerized builds fast and reproducible. Secrets management, environment promotion,... -
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Kapitan
Generic templated configuration management for Kubernetes
Generic templated configuration management for Kubernetes, Terraform, and other things. Kapitan aims to be your one-stop configuration management solution to help you manage the ever-growing complexity of your configurations by enabling Platform Engineering and GitOps workflows. It streamlines complex deployments across heterogeneous environments while providing a secure and adaptable framework for managing infrastructure configurations. Kapitan's inventory-driven model, powerful templating capabilities, and native secret management tools offer granular control, fostering consistency, reducing errors, and safeguarding sensitive data. ... -
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PandasAI
PandasAI is a Python library that integrates generative AI
PandasAI is a Python library that adds Generative AI capabilities to pandas, the popular data analysis and manipulation tool. It is designed to be used in conjunction with pandas, and is not a replacement for it. PandasAI makes pandas (and all the most used data analyst libraries) conversational, allowing you to ask questions to your data in natural language. For example, you can ask PandasAI to find all the rows in a DataFrame where the value of a column is greater than 5, and it will... -
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Extism
The Universal Plug-in System. Extend anything with WebAssembly
...A plug-in system is software that enables your users or customers to add some logic into certain points in your application. You decide where this logic runs, and your users decide what the plug-in does. Many engineering teams face an ever-growing list of feature requests, often exceeding their bandwidth several times over. How can you ever keep up? Making your product extensible by its end-users is a great way to move some of those features outside the core, and empower customers to make your software more useful for them. -
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PromptBin
A free guide for learning to create ChatGPT3 Prompts
...It includes a simple front-end interface that enables searching, filtering, and copying prompts quickly, emphasizing usability and accessibility. Beyond just a static list, the project embodies best practices in prompt engineering by demonstrating how structured inputs can significantly improve AI outputs. -
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ML-NLP
This project is a common knowledge point and code implementation
...In addition to technical explanations, the project organizes content into topic areas such as deep learning fundamentals, natural language processing techniques, and algorithm engineering practices. -
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10
AgentGuide
AI Agent Development Guide, LangGraph in Action, Advanced RAG
...The guide covers topics such as agent frameworks, retrieval-augmented generation systems, multi-agent collaboration, memory management, and tool usage. It also includes practical projects, interview preparation materials, and curated research papers related to AI agents and LLM engineering. The project is designed not only for learning but also for career preparation, helping developers understand how to build portfolio projects and prepare for AI engineering roles. -
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llm_interview_note
Mainly record the knowledge and interview questions
...It covers fundamental topics such as the historical evolution of language models, tokenization methods, word embeddings, and the architectural foundations of transformer-based models. The repository also explores practical engineering concerns including distributed training strategies, dataset construction, model parameters, and scaling techniques used in large-scale machine learning systems. By organizing topics in a hierarchical documentation format, it enables readers to progress from basic NLP concepts to advanced topics like mixture-of-experts architectures and large-scale training frameworks. -
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Fish Skin AI Knowledge Base
Programmer Fish Skin's AI Resource Guide
Fish Skin AI Knowledge Base is a comprehensive open knowledge base and tutorial collection that helps developers quickly learn, evaluate, and apply modern AI technologies, especially in the context of “vibe coding” and practical AI product development. The project curates structured learning paths covering model selection, AI coding tools, agent platforms, prompt engineering, and full-stack AI application workflows. It combines beginner-friendly introductions with advanced guides on context management, hallucination mitigation, and production-quality code practices. The repository also includes hands-on project tutorials that walk users from zero to deployable AI products across multiple application types. ... -
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CBIG
Computational Brain Imaging Group tools
CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local... -
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wipEout Rewrite
This is a re-implementation of the 1995 PSX game wipEout
wipEout Rewrite is a reverse-engineering and reimplementation project focused on recreating the original Wipeout game engine in modern portable C code. The project aims to preserve and modernize the classic futuristic racing game by rebuilding its engine architecture while improving compatibility with contemporary hardware and operating systems. It includes systems for rendering, physics, input handling, audio, and gameplay logic while remaining faithful to the original PlayStation-era experience. ... -
15
Agent Development Kit (ADK) for Java
An open-source, code-first Java toolkit
Google’s Agent Development Kit for Java is an open-source toolkit that helps developers design, evaluate, and deploy advanced AI agents using the Java programming language. The framework follows a code-first approach that treats agent development as a structured software engineering task rather than a collection of prompt scripts. It provides abstractions and tools that allow developers to create agents capable of executing complex workflows, calling tools, and interacting with external services. ADK is designed to be flexible and modular so that developers can build simple automation agents or large distributed agent systems depending on their needs. ... -
16
Dev Janitor
Your Vibe Coding Toolkit A cross-platform desktop application
Dev Janitor is an open-source developer productivity tool designed to automatically clean up stale, unused, or poorly maintained code patterns in a codebase, helping teams keep their repositories tidy without consuming engineering time manually pruning technical debt. The tool analyzes project files and identifies opportunities to perform cleanup tasks such as removing dead imports, fixing outdated syntax, simplifying redundant expressions, and consolidating duplicated logic, all while observing established conventions for the languages it supports. Through a pluggable rule system, it allows teams to enforce their own style guides or cleanup policies, enabling tailored automation that fits each codebase’s unique needs. ... -
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DSPy
DSPy: The framework for programming—not prompting—language models
Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs. -
18
kagent
Kubernetes native framework for building AI agents
...A major focus is tool integration via MCP: agents can connect to MCP servers for tool access, and kagent includes an MCP server with tools for common Kubernetes and platform engineering systems. -
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Magnetar Quantum Vacuum Engineering
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20
NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace aJustice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author.quantum nature of the universe – from the early cosmos to extreme astrophysical... -
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programmer-job-blacklist
Programmer job search blacklist, be careful when changing jobs
...The project was created as a public transparency initiative where developers can share information about companies accused of excessive overtime, unethical management, misleading recruitment practices, or harmful workplace culture. It primarily focuses on the Chinese technology sector but has gained broader recognition as an example of community-driven labor awareness in software engineering. The repository organizes reports, discussions, and references in a structured format that allows developers to research employers before accepting positions. Its existence reflects growing concern within the software industry regarding burnout, labor exploitation, and workplace accountability. -
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Anything Analyzer
AI Agent/IDE | All-in-one protocol analysis toolkit
...The system is built to connect seamlessly with AI agents and development environments through MCP server integration. It is particularly useful for security research, debugging, and reverse engineering workflows. Overall, it transforms complex network inspection into an extensible and intelligent analysis platform. -
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Prompt Master
A Claude skill that writes the accurate prompts for any AI tool
...The repository can be used as both a learning resource and a practical toolkit for developers working with AI systems. It reflects the growing importance of prompt engineering as a discipline in modern AI development. -
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Docker Agent
AI Agent Builder and Runtime by Docker Engineering
Docker Agent is an open-source multi-agent runtime developed by Docker that enables developers to define, run, and orchestrate AI agents using simple declarative configuration files instead of traditional code-heavy approaches. It introduces a YAML-based configuration model where users describe agent behavior, tools, models, and interaction logic in a single file, significantly reducing complexity in building AI systems. The runtime supports multi-agent collaboration, allowing specialized... -
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mini SWE-agent
The 100 line AI agent that solves GitHub issues
mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. -
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SuperPrompt
Experimental prompt framework exploring reasoning structures in AI
SuperPrompt is an experimental open source project focused on designing complex prompts intended to help researchers and developers better understand how AI agents reason and respond. It explores structured prompt engineering techniques that combine symbolic expressions, logical constructs, and conceptual frameworks to guide large language models toward deeper reasoning processes. Its main concept revolves around a highly structured prompt format that includes tagged sections for reasoning, analysis, conceptual expansion, and recursive thinking patterns. ...
