Search Results for "case"
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622 projects for "case" with 1 filter 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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Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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Prompt Master
A Claude skill that writes the accurate prompts for any AI tool
...It provides a structured way to store and reuse prompts, making it easier to maintain consistency and improve performance across different applications. The project emphasizes clarity and organization, allowing users to categorize prompts by use case, domain, or functionality. It also supports experimentation, enabling users to refine prompts and compare results to achieve better outputs. 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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System Design Academy
If you want to become good at AI & system design, join this newsletter
System Design Academy is a curated learning repository for system architecture, distributed systems, AI engineering, and technical interviews. It organizes a large collection of articles and case studies into searchable alphabetical sections. Real-world examples examine how major services scale storage, messaging, streaming, payments, collaboration, and other workloads. Fundamental topics include APIs, caching, consistency, databases, DNS, Docker, Kafka, Kubernetes, load balancing, microservices, and service discovery. Separate guides cover interview frameworks and design exercises for products such as ChatGPT, Spotify, WhatsApp, and YouTube. ... -
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AI Infra
Understanding of AI Infra: Quantitative Analysis and System Design
...It approaches inference and training through quantitative analysis of hardware limits, data movement, model architecture, and distributed systems. The book contains twelve chapters supported by formulas, diagrams, experiments, and case studies. Companion tools help readers reproduce resource calculations and inspect the assumptions behind system-design decisions. Additional material covers accelerators, networking, KV caches, inference serving, training systems, mixture-of-experts models, and performance engineering. The source is written in Markdown and automatically built into a XeLaTeX PDF and a searchable website. ... -
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WooYun Legacy
wooyun-legacy skill for claude code
...The repository organizes information into methodology references, technical knowledge, vulnerability categories, examples, and evaluation data. A lightweight installation provides condensed indexes, while the full repository exposes the complete case collection for deeper research. It is intended for authorized testing, risk analysis, code review, and defensive security work. The maintainers have stated that the project is no longer actively maintained. -
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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System Design 101
Explain complex systems using visuals and simple terms
...It is designed for engineers preparing for system design interviews as well as developers who want to understand how large systems operate. Topics cover APIs, networking, databases, caching, distributed systems, software architecture, payments, security, and development practices. Real-world case studies examine architectures used by major technology companies. The material also explains common tradeoffs, scalability techniques, reliability patterns, and performance strategies. Its highly visual format makes complex engineering concepts easier to review and compare quickly. -
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ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
...It teaches probability and statistical reasoning through short programs, experiments, and analysis of real datasets. The material emphasizes exploratory methods that help readers ask and answer practical questions with data. Case studies draw from public sources, including health-related datasets, to connect abstract concepts with realistic analysis. Each chapter has a notebook containing examples and exercises, along with a separate version that includes solutions. The repository also provides reusable thinkstats2 and thinkplot packages, homework material, workshops, and book-building files. ... -
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lemonade-stand
A handy guide to financial support for open source
...It is particularly valuable for indie developers and founders who want a practical roadmap for launching products without relying on formal business education. The content emphasizes actionable insights and case studies, helping users understand not just what to build but how to position and sell it effectively. -
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Shapeless
Generic programming for Scala
Shapeless is a powerful generic programming library for Scala, enabling compile-time abstraction and manipulation of types. It provides features such as HLists (heterogenous lists), generic derivation of type class instances, dependent types, and polymorphic functions—allowing developers to write boilerplate-free, type-safe code. -
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FDE-Book-of-Forward-Deployed-Engineer
Frontier Deployment Engineer) Beginner's Guide from Scratch
...Dedicated sections examine Palantir’s influence, modern AI companies, customer-facing engineering methods, metrics, and professional ethics. The repository provides each chapter as Markdown and also includes a combined PDF edition. Appendices organize measurements, notable teams, case references, and source documentation for further study. -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Scenery Zine
Turn ordinary images into pages worth staying on
...Users install the skills into Codex, upload a photo, choose a path, and optionally specify relationships or moods to preserve. The repository also documents representative source-to-result case studies and uses a personal noncommercial license. -
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crawler
Collection of JS reverse engineering examples for web scraping study
crawler is a collection of web scraping and JavaScript reverse engineering examples designed for learning how modern websites protect their data and how those protections can be analyzed. It contains many case studies that demonstrate how to analyze and replicate request parameters, cookies, and encryption logic used by real websites. Each directory in the project focuses on a specific target service or scenario, showing how browser network requests and JavaScript code can be studied to reproduce API calls programmatically. Many examples illustrate techniques such as debugging scripts, intercepting requests, analyzing encrypted parameters, and understanding authentication flows. crawler also explores common anti-scraping defenses and demonstrates how developers can examine them through debugging tools and reverse engineering techniques. -
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SurvivalManual
Libre Survival Manual for Android with offline in mind
This is a survival manual/guide based on the public domain US Army Survival Field Manual FM 3-05.70 (FM 21-76). It is fully functional offline, which is important in the case of a catastrophe. But it doesn't have to be used only in emergency situations, it can also be useful for outdoor trips, walks, camps, and learning about nature and yourself truly. This is not only fun, but you can also train skills (fire, build shelter, ...) that you may need in a catastrophe. Some things work best with practice in a relaxed environment, so you also have time for some experiments. ... -
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Redis
An in-memory database that persists on disk
...You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing an element to a list; computing set intersection, union and difference; or getting the member with highest ranking in a sorted set. To achieve top performance, Redis works with an in-memory dataset. Depending on your use case, you can persist your data either by periodically dumping the dataset to disk or by appending each command to a disk-based log. -
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match-sorter
Simple, expected, and deterministic best-match sorting
...It supports a variety of advanced options, such as specifying which object keys to search, controlling the matching threshold, and customizing the base sorting logic. The library includes recipes and examples that show how to handle different naming conventions like PascalCase, camelCase, snake_case, and kebab-case by normalizing separators. It also offers control over diacritics handling, allowing you to strip or keep accents depending on the UX you want. Distributed via npm and usable in both Node and browser environments. -
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Exploitarium
A single archive of public exploit PoCs and vulnerability research
Exploitarium is a consolidated archive of public proof-of-concept vulnerability research and exploit writeups. It gathers older standalone research repositories into one place while also adding newer entries as self-contained folders. The project includes tracked examples involving software such as 7-Zip, AnyDesk, c-ares, curl, Discourse, Docker, and other targets. Its purpose is research visibility, vulnerability study, and educational review rather than normal application deployment.... -
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Google Cloud Platform Python Samples
Code samples used on cloud.google
...It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. The repository is organized into product-specific directories, allowing developers to quickly locate examples relevant to their use case and adapt them into production workflows. It emphasizes hands-on learning by guiding users through setup steps such as creating virtual environments, installing dependencies, and running scripts locally. These samples are designed to accelerate development by showing best practices for connecting services, handling data, and managing cloud resources programmatically. -
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MING
A large-scale model of medical consultation in Chinese
MING is an open-source medical large language model designed for intelligent medical consultation and question answering in Chinese. The project focuses on building a healthcare-focused conversational system capable of responding to medical questions, analyzing case descriptions, and guiding diagnostic reasoning. It is trained using medical instruction tuning so that the model can understand patient symptoms and respond with structured explanations and clinical suggestions. One of its primary goals is to simulate a multi-round medical consultation process, allowing the system to ask follow-up questions before offering diagnostic recommendations. ... -
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react-highlight-words
React component to highlight words within a larger body of text
...You pass a string (or node tree) and an array of search terms, and the component splits content into matched and unmatched chunks with minimal overhead. It supports case-sensitive or insensitive matching and optional auto-escaping so user-entered queries won’t be treated as regex. For advanced scenarios, you can provide a custom findChunks function to control tokenization (e.g., word boundaries or diacritics-aware behavior). The highlight output is easy to restyle via a custom tag (like mark) or inline styles, keeping the visual layer decoupled from the matching logic. ... -
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PSI Probe
Advanced manager and monitor for Apache Tomcat
Advanced manager and monitor for Apache Tomcat, forked from Lambda Probe. Generally supported versions for third-party tomcat providers align with their support but earlier versions may still work. It is advisable in every case to use only supported tomcat releases per specific vendor. Our support will only be against non-CVE releases. -
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DeltaForce-OBS-Locker
Delta Action OBS Lock Plugin
...The project also references fisheye or wide-angle correction, small-object detection, and mobile demonstration code. Because the repository is closely tied to gameplay automation and competitive-game assistance, it should be treated as an educational computer vision case study rather than a fair-play gaming tool. It is most appropriate for studying visual detection pipelines, UI capture, and input-simulation concepts in controlled environments. -
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GeoIP
This project automatically generates GeoIP files in multiple formats
...Rather than depending solely on the official GeoLite2 data, geoip augments and merges data sources (especially for certain regions) to improve coverage or tailor by use-case (e.g. proxy-specific rules, private networks, or region-based classification). The repo provides automated, periodic releases (e.g. weekly or on schedule) and also offers a CLI tool so users can regenerate or customize geo data in the format they need — for example, producing a .dat file for V2Ray / Xray-core, or a MaxMind-compatible .mmdb. -
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AG2
Framework for building and orchestrating multi-agent AI systems
...AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. AG2 emphasizes flexibility, allowing users to integrate different models and customize behaviors depending on their use case. Overall, it serves as a foundation for building scalable and modular AI agent ecosystems. -
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SenseVoice
Multilingual speech recognition and audio understanding model
...It is built to achieve high transcription accuracy while maintaining efficient inference performance. It includes different model variants optimized for either speed or accuracy, allowing developers to choose a configuration suitable for their use case. In addition to speech transcription, SenseVoice can detect emotional cues in speech and identify common sound events such as applause, laughter, or coughing. It also provides tools for running inference, exporting models to formats like ONNX or LibTorch, and deploying the system through APIs. -
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Awesome LLM Apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI
Awesome LLM Apps is a community-curated directory of interesting, practical, and innovative applications built on or around large language models, serving as a discovery hub for developers, researchers, and enthusiasts. The list spans a wide range of categories including productivity tools, creative assistants, utilities, education platforms, research frameworks, and niche vertical apps, showcasing how generative models are being used across domains. Each entry includes a brief description,... -
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WebDriverManager
Automated driver management and helper features for Selenium WebDriver
...For using this feature, you need to select a given manager in the WebDriverManager API (e.g., chromedriver() for Chrome) and invoke the method setup(). The following example shows the skeleton of a test case using JUnit 5, Selenium WebDriver, and WebDriverManager.
