Search Results for "clear" - Page 5
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Showing 869 open source projects for "clear"
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Suave
Suave is a simple web development F# library
Suave is a simple web development F# library providing a lightweight web server and a set of combinators to manipulate route flow and task composition. Suave is inspired in the simplicity of Happstack and born out of the necessity of embedding web server capabilities in my own applications. Suave supports Websocket, HTTPS, multiple TCP/IP bindings, Basic Access Authentication, Keep-Alive. Suave also takes advantage of F# asynchronous workflows to perform non-blocking IO. In fact, Suave is... -
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pytz
Python historical timezone library and database
pytz is a Python library that brings the IANA/Olson timezone database into the Python runtime, enabling accurate, cross-platform timezone calculations for all the world’s timezones. It addresses a major limitation of Python’s built-in datetime.tzinfo by providing consistent support for daylight-saving transitions, historical offset changes, and ambiguous times (such as the end of DST). With pytz, developers can convert naïve datetime objects into timezone-aware ones, shift between timezones,... -
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Nomulus
Top-level domain name registry service on Google Cloud Platform
...Operators get admin tools for reporting, manual adjustments, and policy configuration, while registrars interact through standards-compliant channels. Nomulus treats registries as serious infrastructure: audited flows, durable storage, and clear extension points for custom policies and TLD-specific behavior. -
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FreedomGPT
React and Electron-based app that executes the FreedomGPT LLM locally
...It supports integration with models like Liberty Edge and offers an open-source solution for those seeking more control over their AI interactions. The app's setup is simple, and it includes clear installation guides for both macOS and Windows platforms, as well as detailed instructions for building necessary libraries like llama.cpp. -
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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AI Runner
Offline inference engine for art, real-time voice conversations
...At the core of its LLM stack is a mode-based architecture with specialized “modes” such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents. -
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any-llm
Communicate with an LLM provider using a single interface
...The gateway exposes an OpenAI-compatible API, allowing existing tools and workflows to connect without modification. The system emphasizes developer experience with clear error handling, strong typing, and minimal configuration overhead. -
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SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion
SimpleTuner is an open-source toolkit designed to simplify the fine-tuning of modern diffusion models for generating images, video, and audio. The project focuses on providing a clear and understandable training environment for researchers, developers, and artists who want to customize generative AI models without navigating complex machine learning pipelines. It supports fine-tuning workflows for models such as Stable Diffusion variants and other diffusion architectures, enabling users to adapt pretrained models to specialized datasets or creative tasks. ... -
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PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. ... -
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doc.rustdesk.com
Document of RustDesk
...The docs explain concepts like rendezvous versus relay roles, NAT traversal, security settings, and platform-specific nuances across Windows, macOS, Linux, and mobile. Clear navigation and task-oriented articles help readers move quickly from first-time installation to advanced troubleshooting. The project treats documentation as code, enabling version control, community contributions, and swift iteration alongside product releases. It also provides best practices around performance tuning, authentication choices, and network topology so organizations can run RustDesk confidently at scale. -
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OpenAI Quickstart Node
Node.js example app from the OpenAI API quickstart tutorial
OpenAI Quickstart Node.js is an example application designed to help developers learn how to use the OpenAI API with Node.js. The repository provides structured sample code for a variety of API endpoints, including chat completions, assistants, embeddings, fine-tuning, moderation, batch processing, and image generation. Each folder contains runnable scripts that demonstrate both basic usage and more advanced scenarios. By following the examples, developers can quickly understand how to... -
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LeetCode Master
About "Code Thoughts" LeetCode Practice Guide: 200 classic questions
...Problems are grouped by topic—such as arrays, linked lists, dynamic programming, greedy algorithms, and graph theory—so learners can focus on specific areas systematically. Each solution is accompanied by clear commentary to explain the thought process, algorithm design, and complexity analysis. The project is continuously updated and widely used by learners as both a reference and a roadmap to progress from beginner to advanced LeetCode practice. With its thorough coverage and educational style, leetcode-master helps programmers build strong problem-solving skills and confidence for competitive programming. -
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GraphQL Batch
A query batching executor for the graphql gem
...Define a custom loader, which is initialized with arguments that are used for grouping and a perform method for performing the batch load. Use GraphQL::Batch as a plugin in your schema after specifying the mutation so that GraphQL::Batch can extend the mutation fields to clear the cache after they are resolved. The loader class can be used from the resolver for a graphql field by calling .for with the grouping arguments to get a loader instance, then call .load on that instance with the key to load. Although this library doesn't have a dependency on active record, the examples directory has record and association loaders for active record which handles edge cases like type-casting ids. ... -
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MoonZoon
Rust Fullstack Framework
...On the backend, MoonZoon provides a server component that integrates seamlessly with the frontend, enabling efficient communication and shared logic across the application. It emphasizes simplicity and productivity by offering a cohesive architecture that minimizes boilerplate and promotes clear data flow. -
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Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
...The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. The goal of the project is to make complex topics such as statistics, algorithms, and data analysis more accessible to learners by breaking concepts into clear explanations supported by code examples and diagrams. The material emphasizes a learning approach that combines theoretical knowledge with hands-on experimentation, often recommending interactive tools such as Jupyter notebooks to explore the ideas presented in the book. -
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Simple Evals
Lightweight framework for evaluating large language model performance
...By emphasizing simplicity, the framework makes it easy to define new tasks, run evaluations, and interpret results in a reproducible way. It is particularly useful for sanity checks, exploratory research, and comparing performance across different models or configurations. The project provides clear structures for defining datasets, metrics, and evaluation logic, while staying minimal enough to adapt for custom use cases. With its straightforward design, simple-evals is well-suited for rapid iteration and for teams that want to integrate evaluation into their model development workflows. -
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Easings.net
Easing Functions Cheat Sheet
...Instead of linear changes, easing functions help define how values accelerate or decelerate over time, resulting in smoother and more dynamic effects. The project provides a clear, interactive showcase of common easing equations such as quadratic, cubic, quartic, and elastic functions. It is a valuable resource for developers and designers who want to understand and compare different easing behaviors before applying them to web animations, game mechanics, or UI interactions. With its focus on simplicity and clarity, Easings .net has become a popular go-to reference for motion design and development. -
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Fiwix
A UNIX-like kernel for the i386 architecture
Fiwix is a Unix-like operating system kernel designed for educational purposes and hobbyist development, targeting the i386 architecture. It implements many classic UNIX principles and aims to provide a clean, well-documented codebase that is both readable and easy to study. Fiwix offers a functional kernel that supports ELF binaries, a virtual file system, and standard system calls, making it a great platform for learning OS internals or experimenting with system-level programming. Its... -
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TheCodingMachine React Native
A React Native template for building solid applications
...Join our vibrant community and watch it flourish. This boilerplate offers a robust foundation for developing cross-platform mobile applications using React Native. It emphasizes a clear separation between the user interface and business logic, promoting maintainability and scalability. Developers can choose between JavaScript and TypeScript, catering to different project requirements. -
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Shapash
Explainability and Interpretability to Develop Reliable ML models
Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several types of visualization that display explicit labels that everyone can understand. Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria. -
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GraphQL Modules
Enterprise Grade Tooling For Your GraphQL Server
GraphQL Modules is a toolset of libraries and guidelines dedicated to create reusable, maintainable, testable and extendable modules out of your GraphQL server. Modules are defined by their GraphQL schema (Schema first design). Manage multiple teams and features, multiple micro-services and servers. A clear, gradual path from a very simple and fast, single-file modules, to scalable ones. A rich toolset around testing, mocking and separation. GraphQL Modules is a set of extra tools, structures and guidelines around your GraphQL schema. You’ll see how effective those tools are once you’ll start growing and scaling your GraphQL server. -
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Jasper
Jasper - A flexible and powerful issue reader for GitHub
...You can use the GitHub Search query to create various criteria, such as issues I created, pull requests of nodejs/node, bug-labeled issues, etc. to view issues and receive update notifications. In addition to unread issues, unread issue comments and review comments are highlighted in a clear and easy-to-understand manner. Unread comments are also displayed on a mini-map to help you keep track of the entire issue. Quickly see the issue's open/close, label, milestones and assignments. It also shows the review status of the pull request (approved, request changed, commented) along with the reviewer. You can search for locally stored issues with a subset of the GitHub Search query. ... -
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Advanced + Agentic RAG Cookbooks
Advanced RAG cookbooks for building accurate LLM applications
Athina AI’s RAG Cookbooks is a GitHub repository that showcases advanced and agentic Retrieval-Augmented Generation techniques for building more accurate AI applications. It provides ready-to-use notebooks, implementations, and explanations that help developers move from basic RAG setups to more sophisticated workflows. Athina AI’s RAG Cookbooks covers the full RAG pipeline, including indexing, retrieval, augmentation, and generation, while also addressing evaluation to measure accuracy and... -
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ClawRouter
Smart LLM router
...Because distributed AI systems often involve many services, agents, and runtime components interacting with each other and with external APIs, ClawRouter helps ensure that communication paths remain clear, efficient, and adaptable as systems scale. The framework supports plugin-based extensions so developers can define custom protocols, transformation hooks, and monitoring handlers without modifying core routing logic. It also offers operational features like health checking, metrics reporting, and failure handling that make production deployments more reliable. -
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OpenAI Agent Skills
Skills Catalog for Codex
...It organizes reusable, task-specific workflows, instructions, scripts, and resources into modular skill folders so that an AI agent can reliably perform complex tasks without repeated custom prompting, making agent behavior more predictable and composable. Each skill is defined with clear metadata and instructions organizing how an AI assistant should complete specific tasks ranging from project management to code generation and documentation assistance. The repository supports community contributions, allowing developers to add new skills or update existing ones to keep the catalog relevant and practical for evolving use cases. -
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Get Shit Done
A light-weight and powerful meta-prompting, context engineering
...It solves “context rot” — the degradation of AI quality as a chat session grows — by structuring your idea into precise, context-engineered steps that are researched, scoped, planned, executed, and verified with clear commands and outputs instead of ad-hoc prompts. The project emphasizes simplicity and effectiveness over bureaucratic workflows like story points, sprint ceremonies, or enterprise processes, making it especially useful for solo developers or small teams aiming to get reliable execution without overhead. GSD breaks down big goals into atomic plans, keeps AI context fresh, and automates task execution while generating standardized documentation, roadmaps, and commit histories.
