Search Results for "framework" - Page 37
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6682 projects for "framework" with 1 filter applied:
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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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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Mobility
Pluggable Ruby translation framework
Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including... -
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Spring Statemachine
Framework for application developers to use state machine concepts
The Spring Statemachine project aims to provide a common infrastructure to work with state machine concepts in Spring applications. It is advised to check the actual state of this project by referring to the latest releases found on the Spring Statemachine Project Page. The git repo default branch may be relatively unstable when new features are added to the source code. Spring Statemachine uses a Gradle-based build system. In the instructions below, ./gradlew is invoked from the root of the... -
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Restbed
Restbed framework brings asynchronous RESTful functionality
Restbed is a comprehensive and consistent programming model for building applications that require seamless and secure communication over HTTP, with the ability to model a range of business processes, designed to target mobile, tablet, desktop and embedded production environments. Server-Sent Events enable efficient server-to-client streaming of text-based event data—e.g., real-time notifications or updates generated on the server. A technique allowing multiple HTTP requests to be sent on a... -
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A2UI
A Protocol for Agent-Driven Interfaces
A2UI (Agent-to-User Interface) is an open-source protocol and set of libraries developed by Google to enable AI agents to generate rich, interactive user interfaces instead of relying solely on text-based responses. The project introduces a declarative JSON format that allows agents to describe the structure, components, and behavior of a user interface, which is then rendered by the client using its own native components. This approach separates UI intent from UI implementation, making it... -
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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Khazix Skills
Digital Life Kazik Open Source AI Skills Collection
Khazix Skills project is an automation framework designed to transform GitHub repositories into structured, reusable AI agent skills. It acts as a pipeline that analyzes a repository’s metadata, extracts relevant information such as README content and commit hashes, and converts it into a standardized skill format that can be integrated into agent ecosystems. The system emphasizes lifecycle management by embedding versioning, traceability, and metadata directly into generated skill files, allowing future updates and synchronization with the original repository. ... -
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PyQt-SiliconUI
A powerful and artistic UI library based on PyQt5
PyQt-SiliconUI is an open source UI framework built on top of PyQt5 that focuses on delivering visually elegant and highly customizable desktop application interfaces. It is designed as a comprehensive collection of UI components, layouts, and utilities that allow developers to build rich graphical user interfaces in Python with a modern and artistic aesthetic. 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. ... -
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App Store Screenshots Generator
End to end app store screenshot creation using AI
...It works by guiding developers through a structured prompt process where they describe their app’s features, branding, and style preferences, and then automatically builds a screenshot generation system using a Next.js-based framework. The tool emphasizes persuasive design, treating screenshots as advertisements with strong copywriting and visual hierarchy rather than simple previews of functionality. It supports multiple device resolutions and exports assets in all required Apple formats, significantly reducing the manual effort typically involved in App Store submission preparation. ... -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
...The project is structured as a sample library, which means its primary value lies in showing practical API usage, authentication flows, and service interaction patterns instead of shipping a standalone framework. It also points developers toward a larger Google Cloud samples ecosystem, reinforcing its role as part of a broader documentation and onboarding strategy. -
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Kuma UI
A Headless, Utility-First, and Zero-Runtime UI Component Library
Kuma UI is an open-source styling and component library that focuses on providing a headless, utility-first approach to building modern web interfaces. The framework emphasizes performance by extracting CSS at build time, allowing developers to create fast websites without requiring runtime styling engines in the browser. By combining utility-first styling with headless component patterns, Kuma UI allows developers to fully customize visual appearance while relying on reusable component logic. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Medusa Next.js Starter Template
A performant frontend ecommerce starter template with Next.js
Next.js Starter Medusa is an open-source starter template designed to help developers quickly build modern eCommerce storefronts using the Medusa headless commerce engine and the Next.js framework. The project provides a complete frontend architecture that connects to a Medusa backend, which handles core commerce logic such as products, carts, customers, and orders. By combining Medusa’s modular commerce APIs with the capabilities of Next.js, the template enables developers to build fast, scalable storefront applications while maintaining full flexibility over design and functionality. ... -
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TimeMixer
Decomposable Multiscale Mixing for Time Series Forecasting
TimeMixer is a deep learning framework designed for advanced time series forecasting and analysis using a multiscale neural architecture. The model focuses on decomposing time series data into multiple temporal scales in order to capture both short-term seasonal patterns and long-term trends. Instead of relying on traditional recurrent or transformer-based architectures, TimeMixer is implemented as a fully multilayer perceptron–based model that performs temporal mixing across different resolutions of the data. ... -
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face.evoLVe
High-Performance Face Recognition Library on PaddlePaddle & PyTorch
face.evoLVe is a high-performance face recognition library designed for research and real-world applications in computer vision. The project provides a comprehensive framework for building and training modern face recognition models using deep learning architectures. It includes components for face alignment, landmark localization, data preprocessing, and model training pipelines that allow developers to construct end-to-end facial recognition systems. The repository supports multiple neural network backbones such as ResNet, DenseNet, MobileNet, and ShuffleNet, enabling experimentation with different architectures depending on performance requirements. ... -
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AutoTrain Advanced
Faster and easier training and deployments
AutoTrain Advanced is an open-source machine learning training framework developed by Hugging Face that simplifies the process of training and fine-tuning state-of-the-art AI models. The project provides a no-code and low-code interface that allows users to train models using custom datasets without needing extensive expertise in machine learning engineering. It supports a wide range of tasks including text classification, sequence-to-sequence modeling, token classification, sentence embedding training, and large language model fine-tuning. ... -
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FlexLLMGen
Running large language models on a single GPU
...The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware. The architecture distributes computation and memory usage across the GPU, CPU, and disk in order to maximize the number of tokens processed during inference. This design allows organizations to deploy powerful language models for high-volume tasks without the infrastructure costs typically associated with large-scale AI systems. ... -
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Instant Neural Graphics Primitives
Instant neural graphics primitives: lightning fast NeRF and more
...These representations are trained using a compact neural network combined with a multiresolution hash encoding that dramatically accelerates both training and rendering processes. The framework is capable of reconstructing detailed 3D scenes from images and generating realistic views of those scenes in real time. Compared with earlier neural radiance field approaches, instant-ngp significantly reduces training time and computational requirements, enabling models to be trained within seconds or minutes on modern GPUs. -
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Pydoll
Async Python library in automating Chromium browsers without WebDriver
...It provides a high-level API that simplifies common browser automation tasks while still offering access to low-level protocol features for advanced control. Its architecture is built around asynchronous programming using Python’s asyncio framework, enabling concurrent automation of multiple tabs and browser contexts. Pydoll also includes tools for monitoring and intercepting network traffic, allowing developers to analyze or modify requests and responses during automation workflows. It emphasizes realistic interactions and fingerprint management to reduce the likelihood of automated actions. -
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mllm
Fast Multimodal LLM on Mobile Devices
mllm is an open-source inference engine designed to run multimodal large language models efficiently on mobile devices and edge computing environments. The framework focuses on delivering high-performance AI inference in resource-constrained systems such as smartphones, embedded hardware, and lightweight computing platforms. Implemented primarily in C and C++, it is designed to operate with minimal external dependencies while taking advantage of hardware-specific acceleration technologies such as ARM NEON and x86 AVX2 instructions. ... -
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Claude Code Skills & Plugins Hub
270+ Claude Code plugins with 739 agent skills
Claude Code Plugins Plus Skills is a large open-source ecosystem of plugins and AI “skills” designed to extend the capabilities of Claude Code development agents. The repository functions as a marketplace-style collection of hundreds of plugins and specialized skills that enable Claude Code to perform complex development, automation, and operational tasks. These plugins cover a wide range of domains including DevOps automation, security testing, API debugging, infrastructure management, and... -
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LongWriter
Unleashing 10,000+ Word Generation from Long Context LLMs
LongWriter is an open-source framework and set of large language models designed to enable ultra-long text generation that can exceed 10,000 words while maintaining coherence and structure. Traditional large language models can process large inputs but often struggle to generate long outputs due to limitations in training data and alignment strategies. LongWriter addresses this challenge by introducing a specialized dataset and training approach that encourages models to produce longer responses. ... -
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Magicoder
Empowering Code Generation with OSS-Instruct
Magicoder is an open-source family of large language models designed specifically for code generation and software development tasks. The project focuses on improving the quality and diversity of code generation by training models with a novel dataset construction approach known as OSS-Instruct. This technique uses open-source code repositories as a foundation for generating more realistic and diverse instruction datasets for training language models. By grounding training data in real... -
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Hallucination Leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations
Hallucination Leaderboard is an open research project that tracks and compares the tendency of large language models to produce hallucinated or inaccurate information when generating summaries. The project provides a standardized benchmark that evaluates different models using a dedicated hallucination detection system known as the Hallucination Evaluation Model. Each model is tested on document summarization tasks to measure how often generated responses introduce information that is not... -
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Chat with LLMs Everywhere
Run PyTorch LLMs locally on servers, desktop and mobile
TorchChat is an open-source project from the PyTorch ecosystem designed to demonstrate how large language models can be executed efficiently across different computing environments. The project provides a compact codebase that illustrates how to run conversational AI systems using PyTorch models on laptops, servers, and mobile devices. It is intended primarily as a reference implementation that shows developers how to integrate large language models into applications without requiring a... -
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LLM Workflow Engine
Power CLI and Workflow manager for LLMs (core package)
LLM Workflow Engine is an open-source command-line framework designed to integrate large language models into automated workflows and developer environments. The platform allows users to interact with AI models directly from the terminal, enabling conversational AI access through shell commands and scripts. Instead of focusing solely on chat interactions, the system is built to embed LLM calls into larger automation pipelines where model outputs can drive decision making or trigger additional processes. ... -
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Deep Search Agent
Implement a concise and clear Deep Search Agent from 0
Deep Search Agent is an experimental demonstration project that showcases an autonomous AI agent designed to perform multi-step research and information gathering tasks. The repository illustrates how large language models can be orchestrated with tools and planning logic to execute complex search workflows rather than single-prompt responses. It typically combines reasoning, retrieval, and iterative refinement so the agent can break down questions, gather evidence, and synthesize structured... -
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Agent Lightning
The absolute trainer to light up AI agents
Agent Lightning is an open-source framework developed by Microsoft to train and optimize AI agents using techniques like reinforcement learning (RL), supervised fine-tuning, and automatic prompt optimization, with minimal or zero changes to existing agent code. It’s designed to be compatible with a wide range of agent architectures and frameworks — from LangChain and OpenAI Agent SDKs to AutoGen and custom Python agents — making it broadly applicable across different agent tooling ecosystems. ...