Search Results for "common" - Page 30
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Showing 4501 open source projects for "common"
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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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Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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RSC Explorer
A tool for people curious about the React Server Components protocol
RSC Explorer is an educational, experiment-friendly tool for understanding the React Server Components (RSC) protocol by making the streaming process visible and inspectable. It runs both the “server” and “client” sides of RSC in the browser, removing the need to set up a full backend just to learn how the protocol behaves. The core experience is the ability to step through the RSC stream incrementally, seeing what data arrives at each moment and how that data maps to the React tree being... -
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History LLMs
Information hub for our project training the largest possible LLMs
...The History LLMs aim to be trained on massive curated datasets of time-stamped documents so that the resulting models can offer responses grounded only in the knowledge available before their cutoff, such as 1913, thereby avoiding hindsight contamination common in modern LLMs. This approach enables researchers in the humanities and social sciences to explore how people at different historical moments would have discussed world events, norms, and ideas without later developments influencing the model. It contains documentation about model families like Ranke-4B, which are trained from scratch with historical corpora and can act as “aggregate witnesses” to the textual culture of their era. -
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ticket
Fast, powerful, git-native ticket tracking in a single bash script
...It stores each ticket as a Markdown file with YAML frontmatter, making them human-readable and easy to version control alongside your code, while also allowing IDEs to jump straight to ticket definitions. The CLI provides common subcommands to create, list, edit, close, and manage dependencies between tickets, enabling clear hierarchical task structures and visual dependency trees. Its design is rooted in the Unix philosophy of simplicity, composability, and transparency, meaning it integrates well with other standard tools like grep, jq, and ripgrep when installed. ... -
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LLM TLDR
95% token savings. 155x faster queries. 16 languages
...The system supports both extractive and abstractive summarization styles so that users can choose whether they want condensed highlights or a more narrative paraphrase of key ideas. To enhance usability, LLM-TLDR includes command-line tools and integration examples for common workflows like batch summarization, webhook ingestion, and automation in documentation pipelines. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Universal Commerce Protocol
Specification and documentation for the Universal Commerce Protocol
UCP (Universal Commerce Protocol) is an open standard intended to make commerce integrations interoperable across platforms, agents, businesses, and payment providers without bespoke, one-off connector builds. It defines a shared “common language” and functional primitives so that different systems can express commerce actions and state transitions in a consistent way. The protocol is designed around the realities of existing retail infrastructure, aiming to fit into current operational models while enabling more automated, agent-driven buying experiences. By standardizing how discovery, purchase, and post-purchase steps are represented, it helps reduce integration complexity and makes it easier for multiple parties to participate in the same end-to-end flow. ... -
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skills
The open agent skills tool - npx skills
...Instead of hardcoding prompts per tool, it standardizes skills as SKILL.md files with structured metadata so they can be discovered, listed, installed, updated, and version-tracked consistently. The CLI supports pulling skills from common git sources, including GitHub shorthand, full URLs, direct paths inside repos, GitLab URLs, generic git remotes, and even local folders. It is designed to work across a wide range of agents and editors, so one skill package can be installed into multiple agent-specific directories without rewriting anything for each environment. ... -
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MongoDB Rust Driver
The official MongoDB Rust Driver
...It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full use of the database’s capabilities from Rust applications. Because it’s asynchronous by design, it works well with Rust async runtimes like Tokio and async-std, letting developers build highly concurrent networked services that efficiently use modern multicore hardware. ... -
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Learn Go
Master the fundamentals and advanced features of the Go language
...It also anchors learning in credible references, pointing to official documentation, the Go blog, and widely used learning resources. In practice, it serves as a guided path you can follow linearly or revisit as a reference when you hit common Go questions in day-to-day work. -
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Menubar Electron
High level way to create menubar desktop applications with electron
Menubar Electron is a lightweight JavaScript library for creating desktop applications with persistent menu bar (Mac) or system tray (Windows/Linux) icons/interfaces, allowing developers to build utility apps that live in the user’s system bar and open a small window or popup when clicked. It serves as a wrapper around frameworks like Electron or Node GUI backends, abstracting common tasks such as positioning the popup window, handling click events, and integrating native tray interactions without writing platform-specific code. The library makes it easy to build cross-platform utilities like clipboard managers, quick note popups, status displays, or background tools that users access from the bar icon without filling taskbars or docks. menubar handles the lifecycle of the UI window, system tray icon, and related events so developers can focus on the application logic rather than boilerplate integration. -
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Chinese-XLNet
Chinese XLNet pre-trained model
Chinese-XLNet is a Chinese language pre-trained model based on the XLNet architecture, providing an advanced foundation for natural language processing tasks in Mandarin and other Chinese dialects. Unlike traditional masked language modeling, XLNet uses a permutation language modeling objective that captures bidirectional context more effectively by training over all possible token orderings, yielding richer contextual representations. This model is trained on large-scale Chinese text... -
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ByteHook
ByteHook is an Android PLT hook library
...The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system calls, Bhook likely provides abstractions to inject hooks into processes or libraries, enabling custom behavior monitoring or modification — which can be useful for building security tools, monitoring frameworks, or dynamic instrumentation. As such, Bhook would serve developers needing fine-grained control over runtime execution, e.g. to intercept calls, log behaviors, protect processes, or adapt system behavior dynamically. -
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Lingvo
Framework for building neural networks
...It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state of the art architectures such as recurrent neural networks, Transformer models, variational autoencoder hybrids, and multi task systems. Lingvo includes reference models and configurations for domains like machine translation, automatic speech recognition, language modeling, image understanding, and 3D object detection. ... -
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Preguntas de entrevista para React
Questions about React for job interviews
Preguntas de entrevista para React is a comprehensive Spanish-language resource containing typical React interview questions organized from beginner to expert level. The repository is not just a list of questions: it includes detailed explanations in Spanish, making it useful as both an interview prep guide and a deeper learning reference.The content is structured in sections (beginner, intermediate, expert), covering everything from “What is React?” and JSX basics to advanced topics such as... -
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SSRFmap
Automatic SSRF fuzzer and exploitation tool
...It takes as input a Burp request file and a user-specified parameter to fuzz, enabling you to fast-track the identification of SSRF attack surfaces. It includes multiple exploitation “modules” for common SSRF-based attacks or pivoting techniques, such as DNS zone transfers, MySQL/Postgres command execution, Docker API info leaks, and network scans. Because SSRF often leads to lateral movement or internal network access, SSRFmap is especially useful for red-teamers and pentesters who want to explore chains rather than just the vulnerability surface. ... -
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30 Seconds of Java
Collection of reusable tested Java 21 compatible code snippets
...Each snippet is designed to be read and understood in under a minute, showing a single idea such as working with streams, handling optionals, manipulating collections, or doing common utility tasks. The repo targets both beginners who want bite-sized learning and experienced developers who just need a ready-made idiom without digging through docs. Because the snippets are standalone, you can copy them directly into your project or adapt them with minimal changes. The collection is organized and documented so you can browse by category and skill level. ... -
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Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and... -
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Copilot.vim
GitHub Copilot for Vim and Neovim
Copilot.vim is a plugin that integrates GitHub Copilot — the AI code completion tool from GitHub — with Vim and Neovim. It effectively brings inline AI-powered code suggestions into the editor: you type a comment or a function name (or simply start coding) and Copilot proposes completions which you can accept (often via Tab) or reject. The plugin supports a variety of languages and code contexts, just as Copilot itself does, and aims to make the interaction feel native in Vim. Installation... -
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. Developers get multiple ingestion paths—batch,... -
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Double Conversion
Efficient binary-decimal & decimal-binary conversion routines for IEEE
...The library ensures consistent and accurate results for converting between double values and their string representations, avoiding rounding errors and performance bottlenecks common in standard conversion routines. It is optimized for both speed and correctness, making it ideal for numerical computation libraries, serialization systems, and scripting engines. The codebase includes detailed documentation and comprehensive unit tests to validate correctness across various platforms. With flexible build options using SCons, CMake, or Bazel, Double Conversion integrates seamlessly into modern C++ development workflows. -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive... -
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Atheris
A Coverage-Guided, Native Python Fuzzer
...The tool integrates smoothly with Python’s packaging and unit-test ecosystems, so you can wrap existing tests as fuzz targets and keep results understandable. It supports structured input strategies and custom mutators, which is especially helpful for text and data formats common in Python workloads. In practice, Atheris compresses weeks of edge-case brainstorming into hours of automated exploration with actionable, minimized reproductions. -
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Tunix
A JAX-native LLM Post-Training Library
...The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives. -
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Wuffs
Wrangling Untrusted File Formats Safely
...The design prioritizes predictable performance: decoders avoid dynamic allocation by default, return explicit “short read” signals, and run well in streaming or sandbox-free environments. The project ships battle-tested, CPU-friendly implementations for common image/container formats and bit-twiddly primitives like Huffman and checksum routines. Its standard library emphasizes portability and constant-time behavior where appropriate, which is valuable in security-sensitive contexts. Because the language is purpose-built, the resulting C output is small, auditable, and easy to embed in larger systems. -
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latexify
A library to generate LaTeX expression from Python code
latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence relations—into equations suitable for papers, notebooks, and slide decks. The tool aims to preserve semantics such as exponentiation, summations, products, piecewise definitions, and function application while hiding Pythonic scaffolding. ... -
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XcodeBuildMCP
A Model Context Protocol (MCP) server
XcodeBuildMCP is a Model Context Protocol server that exposes Xcode operations as typed tools and resources so AI assistants can build, test, and debug iOS apps programmatically. It’s organized with a modern plugin architecture and workflow-scoped tool directories, covering common developer actions across projects, schemes, targets, simulators, real devices, and Swift packages. The server aims to be “agent-ready,” surfacing capabilities (build, clean, test, archive, install, run, log collection) with explicit schemas instead of brittle prompt instructions. It supports MCP transports suitable for local IDEs and service deployments, and pairs with a public website that positions it as a bridge between Xcode and autonomous assistants. ...
