1701 projects for "modules" with 1 filter applied:

  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini 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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  • 1
    Java and Spring Tutorials

    Java and Spring Tutorials

    Getting Started with Spring Boot 3

    ...It serves as a companion resource for Baeldung articles, offering real-world code implementations that demonstrate concepts such as Spring Boot, persistence frameworks, REST APIs, security, testing, and more. The repository is organized into multiple modules, each targeting specific technologies or frameworks, making it easy for developers to explore topics independently. It emphasizes best practices, clean code structure, and production-ready patterns, allowing learners to not only understand theoretical concepts but also apply them in real applications. The project is continuously updated to reflect modern development trends and evolving technologies, ensuring relevance for both beginners and experienced developers.
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  • 2
    RecAI

    RecAI

    Bridging LLM and Recommender System

    RecAI is an open-source research platform developed by Microsoft to explore how large language models can be integrated into modern recommender systems. Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent...
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  • 3
    theByteBook

    theByteBook

    In-depth explanation of cloud native related technologies

    ...Although originally authored in Chinese and tied to a published physical book, the repository hosts the full text as markdown and site content, letting developers read versioned chapters online or build a local copy for offline study. It’s organized into modules that progress from basic concepts to advanced deployment and governance topics, and the materials evolve with community contributions and updates.
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  • 4
    Deep Learning Models

    Deep Learning Models

    A collection of various deep learning architectures, models, and tips

    This repository collects clear, well-documented implementations of deep learning models and training utilities written by Sebastian Raschka. The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it...
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  • Demo Series - Small Business Backup By Veeam Icon
    Demo Series - Small Business Backup By Veeam

    Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

    Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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  • 5
    Solon

    Solon

    Java enterprise application development framework

    ...It advertises large concurrency gains, lower memory use, much faster startup, and dramatically smaller packages while remaining compatible from Java 8 through Java 24. The framework focuses on restrained APIs and an open ecosystem, with modules that cover web, data, cloud, and microservice patterns. Its messaging emphasizes “replaceable Spring” ergonomics—keeping developer familiarity while reducing overhead and improving deployment characteristics. Releases and companion repositories present an active community and production-oriented guidance. The broader Solon org also maintains AI/agent extensions (e.g., MCP components) that complement application development.
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  • 6
    Swift Numerics

    Swift Numerics

    Advanced mathematical types and functions for Swift

    ...The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics in Swift. API design follows Swift’s emphasis on value semantics and protocol-oriented programming, enabling compiler optimizations and predictable performance. The modules are factored to keep dependencies minimal and to allow adopters to pull in only what they need. As a result, Swift Numerics underpins higher-level libraries in simulation, signal processing, and machine learning written in pure Swift.
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  • 7
    Elixir Koans

    Elixir Koans

    Elixir learning exercises

    Elixir Koans is an interactive learning project designed to teach the fundamentals of the Elixir programming language through a series of self-guided coding exercises. Inspired by the style of koans used in other programming communities, it provides incomplete code snippets and failing tests that learners must solve to progress. Each exercise builds on the previous one, gradually introducing core concepts such as pattern matching, recursion, processes, and concurrency in Elixir. By debugging...
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  • 8
    JavaScript Obfuscator

    JavaScript Obfuscator

    A powerful obfuscator for JavaScript and Node.js

    ...The tool supports source maps and granular “threshold”/whitelist settings so you can balance protection with performance and debuggability. It works with modern JavaScript syntax and integrates into build pipelines to protect selected bundles or modules automatically. Teams use it to deter casual inspection of proprietary logic, license checks, or anti-abuse heuristics shipped to the browser or Node targets.
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  • 9
    Botcraft

    Botcraft

    Botcraft is a cross-platform C++ library to create bots

    Botcraft is an advanced Minecraft bot framework that provides a full client implementation in Node.js, enabling bots to join Minecraft servers, interact with the world, and perform tasks like mining, fighting, and building. It leverages the mineflayer ecosystem to provide a highly programmable interface for automation and AI experimentation in Minecraft. Botcraft is particularly useful for AI researchers, game modders, and automation enthusiasts who want to explore pathfinding, environment...
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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  • 10
    kotlinx-io

    kotlinx-io

    Kotlin multiplatform I/O library

    A multiplatform Kotlin library providing basic IO primitives. kotlinx-io is based on Okio but does not preserve backward compatibility with it. Buffer works like a queue, allowing to read data from its head or to write data to its tail. Buffer provides functions to read and write data of different built-in types, and to copy data to or from other Buffers. Depending on the target platform, extension functions allowing data exchange with platform-specific types are also available. A Buffer...
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  • 11
    PyQt-SiliconUI

    PyQt-SiliconUI

    A powerful and artistic UI library based on PyQt5

    ...The library includes a wide range of refactored widgets such as buttons, containers, editors, menus, sliders, and progress bars, all structured to work seamlessly with Qt’s layout system. It also provides core modules for animations, event handling, and custom painting, enabling developers to create smooth, interactive desktop experiences beyond standard PyQt capabilities. A key aspect of the project is its ongoing refactoring effort, which aims to modernize components, improve performance, and replace older implementations with more stable and maintainable versions.
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  • 12
    Percy

    Percy

    Build frontend browser apps with Rust + WebAssembly

    ...Percy supports multiple rendering strategies, including client-side rendering, server-side rendering, and hybrid approaches, giving developers flexibility in how applications are delivered and optimized. The framework integrates closely with the Rust ecosystem, leveraging tools like wasm-bindgen to compile Rust code into WebAssembly modules that run in the browser. It emphasizes performance and type safety, allowing developers to build complex interfaces while benefiting from Rust’s compile-time guarantees. Percy also includes routing and component state management features, enabling the creation of full-featured single-page applications.
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  • 13
    LoLLMs WEBUI

    LoLLMs WEBUI

    Local AI WebUI for running and managing large language models offlineA

    lollms-webui is a locally hosted web interface designed to run and manage large language models without relying on external services. It provides users with a centralized environment to interact with multiple AI models, making it suitable for experimentation, development, and personal use. lollms-webui emphasizes offline capability, allowing users to maintain privacy and control over their data while still accessing advanced AI features. It integrates model management tools that help users...
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  • 14
    Grafbase

    Grafbase

    The Grafbase GraphQL Federation Gateway

    Grafbase is an open-source GraphQL federation gateway and API platform designed to unify multiple backend services and data sources into a single, high-performance GraphQL interface. The project provides a Rust-based gateway that acts as the central layer for composing and managing distributed APIs, particularly in microservice architectures where data may come from many independent systems. By supporting GraphQL federation standards, the platform enables teams to combine multiple subgraphs...
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  • 15
    AiLearning-Theory-Applying

    AiLearning-Theory-Applying

    Quickly get started with AI theory and practical applications

    AiLearning-Theory-Applying is a comprehensive educational repository designed to help learners quickly understand artificial intelligence theory and apply it in practical machine learning and deep learning projects. The repository provides extensive tutorials covering mathematical foundations, machine learning algorithms, deep learning concepts, and modern large language model architectures. It includes well-commented notebooks, datasets, and implementation examples that allow learners to...
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  • 16
    videodl

    videodl

    Lightweight Python tool for downloading videos from many platforms

    ...It supports numerous video platforms across both Chinese and international streaming ecosystems, enabling users to fetch content from many popular services through a unified interface. Videodl works by implementing platform-specific client modules that extract video information and download links from supported services. Videodl can integrate with external command-line utilities to improve downloading performance, handle streaming formats such as HLS, and manage encrypted or segmented media streams. Additional utilities can also enable faster downloads, resume interrupted transfers, and process complex playlist structures.
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  • 17
    Text-to-LoRA (T2L)

    Text-to-LoRA (T2L)

    Hypernetworks that adapt LLMs for specific benchmark tasks

    ...The project provides a reference implementation of the Doc-to-LoRA method, which allows language models to quickly encode factual information or contextual constraints into lightweight LoRA modules. Developers and researchers can experiment with how textual task descriptions can generate LoRA weights that modify model behavior in real time.
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  • 18
    MemoryOS

    MemoryOS

    MemoryOS is designed to provide a memory operating system

    MemoryOS is an open-source framework designed to provide a structured memory management system for AI agents and large language model applications. The project addresses one of the major limitations of modern language models: their inability to maintain long-term context beyond the limits of their prompt window. MemoryOS introduces a hierarchical memory architecture inspired by operating system memory management principles, allowing agents to store, update, retrieve, and generate information...
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  • 19
    InternLM-XComposer-2.5

    InternLM-XComposer-2.5

    InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System

    ...Instead of producing only textual responses, the system can generate visually enriched documents such as illustrated articles, presentations, and educational materials. It incorporates visual understanding modules that allow the model to analyze images and integrate them into coherent narrative outputs. The framework also supports tasks such as image captioning, multimodal reasoning, and layout generation for structured visual documents. By combining language generation with visual composition capabilities, the system enables new forms of content creation that integrate written explanations with automatically generated visual components.
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  • 20
    slime LLM

    slime LLM

    slime is an LLM post-training framework for RL Scaling

    slime is an open-source large language model (LLM) post-training framework developed to support reinforcement learning (RL)-based scaling and high-performance training workflows for advanced LLMs, blending training and rollout modules into an extensible system. It offers a flexible architecture that connects high-throughput training (e.g., via Megatron-LM) with a customizable data generation pipeline, enabling researchers and engineers to iterate on new RL training paradigms effectively. The framework is designed to support a wide range of training modes, allowing both synchronous and asynchronous RL workflows and programmable rollout interfaces that simplify experimentation with custom environments and reward signals. ...
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  • 21
    AWS Agent Skills

    AWS Agent Skills

    AWS Skills for Agents

    AWS Agent Skills is a repository that curates AWS-focused agent skills — capability modules that give AI assistants like Claude Code and Codex deep, practical knowledge across key Amazon Web Services domains. Instead of streaming giant documentation sets or relying on episodic web search, this project compresses AWS best practices, usage patterns, edge cases, and real-world engineering guides into pre-structured skill definitions that are token-efficient and tailored for reasoning. ...
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  • 22
    FinRobot

    FinRobot

    An Open-Source AI Agent Platform for Financial Analysis using LLMs

    FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. ...
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  • 23
    Nano Events

    Nano Events

    Simple and tiny (107 bytes) event emitter library for JavaScript

    Nano Events is a minimalistic, high-performance event emitter library for JavaScript. Its goal is to provide the simplest possible API to add pub/sub capabilities (emitters and listeners) to any JS object or application, while keeping overhead and bundle size extremely small. Rather than offering many complex features, nanoevents focuses on the core primitives: creating an emitter, subscribing to named events, emitting events with arbitrary data, and unsubscribing. Because of its minimal API...
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  • 24
    he

    he

    A robust HTML entity encoder/decoder written in JavaScript

    ...It emphasizes correctness, security (avoiding common pitfalls when decoding entities), and broad compatibility (browser, Node.js). The API is straightforward, documented, and used across modules that require reliable entity handling (e.g., for HTML sanitization or templating). Its longevity and adoption make it a go-to library for developers needing entity handling beyond minimal ad-hoc hacks.
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  • 25
    From Java To Kotlin

    From Java To Kotlin

    Your Cheat Sheet For Java To Kotlin

    From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes...
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