Search Results for "engineering" - Page 3
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10095 projects for "engineering" with 1 filter applied:
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Machine Learning Zoomcamp
Learn ML engineering for free in 4 months
...The course also introduces more advanced topics including decision trees, ensemble methods, and neural networks. Later modules focus on practical engineering topics such as containerization with Docker, API development with FastAPI, and scaling machine learning services using Kubernetes and cloud platforms. The repository includes lecture materials, assignments, and projects that allow learners to gain hands-on experience implementing machine learning pipelines. -
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System Prompts and Models of AI Tools
Full System Prompts, Internal Tools & AI Models
...It aggregates prompts from tools like Claude, Cursor, Devin AI, Perplexity, and many others to provide insight into how modern AI agents are structured and guided. The repository serves as a valuable resource for developers, researchers, and AI enthusiasts interested in understanding prompt engineering and agent behavior. By exposing these system-level instructions, it highlights how AI tools are designed to reason, act, and interact with users. It also emphasizes transparency and security awareness, especially around prompt leaks and vulnerabilities. Overall, it acts as a comprehensive knowledge base for studying and experimenting with real-world AI system prompts. -
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ai-cookbook
Examples and tutorials to help developers build AI systems
ai-cookbook is an open-source repository that provides practical tutorials, code examples, and reusable snippets designed to help developers build real-world artificial intelligence applications quickly. The project focuses on delivering hands-on engineering guidance rather than theoretical explanations, allowing developers to copy, adapt, and integrate working code directly into their own systems. The repository contains examples that demonstrate how to build AI workflows using modern tools such as large language models, autonomous agents, and external APIs. Developers can learn how to construct applications like intelligent assistants, automation pipelines, and AI-powered data analysis tools through step-by-step tutorials and ready-to-run scripts. ... -
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Manyfold
A self-hosted digital asset manager for 3d print files
Manyfold is an open-source 3D collaboration platform that reimagines how distributed teams and communities can meet, create, and interact in immersive spatial environments through the web. Instead of forcing users to download native apps or create accounts on closed metaverse services, Manyfold runs entirely in the browser, letting people join 3D spaces with simple links and participate in real time using avatars, voice chat, and object interaction. Users can build or import shared 3D... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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SerenityOS
The Serenity Operating System
...It combines a nostalgic “90s UI aesthetic” with modern system capabilities: a preemptive, multi-threaded kernel, own browsers, network stack, file systems, IPC, security features, and a suite of graphical / developer applications. The project is both a hobbyist OS and a polished engineering sandbox. -
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PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To... -
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drozer
The Leading Security Assessment Framework for Android
drozer (formerly Mercury) is the leading security testing framework for Android. drozer allows you to search for security vulnerabilities in apps and devices by assuming the role of an app and interacting with the Dalvik VM, other apps' IPC endpoints and the underlying OS. drozer provides tools to help you use, share and understand public Android exploits. It helps you to deploy a drozer Agent to a device through exploitation or social engineering. Using weasel (MWR's advanced exploitation payload) drozer is able to maximise the permissions available to it by installing a full agent, injecting a limited agent into a running process, or connecting a reverse shell to act as a Remote Access Tool (RAT). -
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go1pylib
go1pylib is a Python library designed to control the Go1 robot
go1pylib is a Python library designed to control the Go1 robot by Unitree Robotics. It provides an easy-to-use interface for robot movement, state management, collision avoidance, battery monitoring, and MQTT communication. Ideal for research and robotics development. -
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Marketing Skills for Claude Code
Marketing skills for Claude Code and AI agents
Marketing Skills for Claude Code is an extensive library of structured “skills” designed to empower Claude Code and similar AI coding agents to perform specialized marketing tasks with strategic depth, helping technical marketers and founders apply best practices in areas such as conversion rate optimization, SEO, analytics, copywriting, and growth engineering directly in an AI-assisted workflow. Each skill in the repository is expressed as a Markdown file that encapsulates specific marketing frameworks, workflows, and context, enabling AI agents to recognize and execute domain-targeted tasks like “analytics-tracking” setup, “seo-audit,” conversion testing plans, launch strategies, email sequence creation, and more. ... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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QPanda 2
QPanda 2 is an open source quantum computing framework
QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services. -
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Computational Thinking
Introduction to computational thinking with Julia
Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. Using Julia, the course highlights both mathematical reasoning and practical coding, bridging the gap between theory and application. The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. ... -
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TypedAI
TypeScript AI platform with AI chat, Autonomous agents
...TypedAI includes tools for building chat interfaces, managing LLM interactions, and orchestrating multi-step workflows that combine AI reasoning with external tools. The platform also includes specialized software engineering agents that can assist with tasks such as code reviews or repository analysis. Developers can integrate multiple model providers and tools into the platform to create flexible agent pipelines. -
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Superpowers
An agentic skills framework & software development methodology
Superpowers Framework is a widely-used agentic skills framework and methodology for software development that equips coding agents like Claude Code with structured capabilities to plan, develop, test, and review code systematically. Instead of simply generating code, Superpowers drives an AI through a thoughtful software engineering workflow that starts with clarifying project intent, teasing out a detailed specification, and creating an implementation plan that is readable and actionable. It incorporates test-driven development, task planning, and sub-agent orchestration so that each engineering task is executed, checked, and iterated upon with rigor rather than ad-hoc improvisation. ... -
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Chaos Mesh
A Chaos Engineering Platform for Kubernetes
...It helps you conveniently simulate various abnormalities that might occur in reality during the development, testing, and production environments and find potential problems in the system. Based on the principles of Chaos Engineering, Chaos Mesh abstracts real-world events into objects that can be directly applied, hiding the trivial details. Chaos Mesh provides multiple filtering rules that allow selecting injection targets based on labels, annotations, and so on. They are collectively called selectors. In addition, users can also set a namespace whitelist to greater control the "blast radius" of the experiment. -
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learning
A log of things I'm learning
The learning repository by Amit Chaudhary is a continuously updated log of concepts, technologies, and skills related to software engineering and computer science. Rather than being a traditional software library, the repository acts as a structured knowledge base documenting the author’s ongoing learning journey across topics such as programming, system design, machine learning, and generative AI. The content is organized into categories that cover both core engineering skills and adjacent technologies, enabling readers to follow a practical roadmap for developing strong technical foundations. ... -
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CausalImpact
An R package for causal inference in time series
The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have happened in a counterfactual “no intervention” world. The package requires as input a response time series plus one or more control (covariate) time series that are assumed unaffected by the... -
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Swift Numerics
Advanced mathematical types and functions for Swift
Swift Numerics is a foundational library that extends the Swift standard library with essential numerical protocols, types, and functions needed for scientific and systems programming. It defines generic abstractions over real and complex numbers so algorithms can be written once and work across concrete floating-point types. The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics... -
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AI Hedge Fund
An AI Hedge Fund Team
This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. ... -
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Kaggle Solutions
Collection of Kaggle Solutions and Ideas
...Each competition entry typically includes information about the dataset, evaluation metrics, modeling strategies, and techniques used by high-ranking competitors. The repository also highlights important machine learning concepts such as feature engineering, cross-validation strategies, ensemble modeling, and post-processing methods commonly used in winning solutions. Because the content is organized by competition categories such as computer vision, natural language processing, tabular data, and time-series forecasting, users can explore techniques relevant to specific problem types. -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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Skills For Real Engineers
Skills for Real Engineers. Straight from my .claude directory
...Skills can be installed individually and integrated into agent environments, making them highly composable. Overall, the project transforms AI from a reactive assistant into a process-driven engineering collaborator. -
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AI Engineer Headquarters
A collection of scientific methods, processes, algorithms
...Rather than focusing only on theoretical knowledge, the repository emphasizes applied learning and encourages engineers to build real systems that incorporate machine learning, large language models, data pipelines, and AI infrastructure. The curriculum includes a progression of topics such as foundational AI engineering skills, machine learning systems design, large language model usage, retrieval-augmented generation systems, model fine-tuning, and autonomous AI agents. It also promotes disciplined learning routines and project-based practice so learners can develop practical experience and build deployable solutions. -
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BricksLLM
Enterprise-grade API gateway that helps you monitor and impose cost
BricksLLM is an open-source framework for building and managing production-ready LLM (Large Language Model) applications. It provides tooling for prompt engineering, memory management, observability, and chaining, all in one unified developer experience. BricksLLM is designed to reduce boilerplate and increase the maintainability of LLM-based workflows. -
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FinGPT
Open-Source Financial Large Language Models
...It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
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NVIDIA PhysicsNeMo
Open-source deep-learning framework for building and training
...It is built on top of the PyTorch ecosystem and integrates with GPU-accelerated computing environments to handle computationally demanding simulations and datasets. The framework supports a wide range of scientific applications, including computational fluid dynamics, climate modeling, weather prediction, and engineering simulations.
