6682 projects for "framework" with 1 filter applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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    $300 Free Credits for Your Google Cloud Projects

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  • 1
    RSC Explorer

    RSC Explorer

    A tool for people curious about the React Server Components protocol

    ...It includes a set of curated examples that demonstrate how server and client features can interoperate, helping you develop intuition for boundaries, references, and progressive rendering. This makes it useful for educators, workshop leaders, and engineers who want to demystify RSC mechanics without relying on framework-specific abstractions. In practice, it functions like a “packet analyzer” for RSC, turning a normally opaque stream into something you can study and explain.
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  • 2
    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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  • 3
    imgui_club

    imgui_club

    Nice things to use along dear imgui

    ...The code emphasizes clarity and portability, so you can lift snippets directly into your own ImGui applications without heavy refactoring. Because the repo lives alongside Dear ImGui, it reflects current best practices and idioms for the framework rather than drifting into unrelated experiments. It also points to a broader ecosystem of community extensions, making it a hub for discovering higher-level widgets and specialized components.
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  • 4
    react-highlight-words

    react-highlight-words

    React component to highlight words within a larger body of text

    ...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. Because it’s small and framework-idiomatic, it drops into tables, lists, virtualized scroll areas, and complex UIs without forcing layout changes.
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  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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  • 5
    Node.js Best Practices

    Node.js Best Practices

    The Node.js best practices list (July 2024)

    This repository is a living, community-curated guide to writing robust, maintainable Node.js applications at scale. It organizes advice into clear sections—project structure, error handling, security, testing, performance, reliability, and maintainability—so teams can adopt improvements incrementally. Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be...
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  • 6
    RealWorld

    RealWorld

    Exemplary fullstack Medium.com clone powered by React, Angular, Node

    ...The same spec is realized dozens of times (React, Vue, Svelte, Angular, Solid, Next, Remix, and many more), alongside multiple server implementations, so learners can compare idioms without guessing about feature gaps. A shared API contract and test suite keep implementations consistent and reveal framework-specific tradeoffs clearly. This makes the repo a powerful teaching tool for architecture, state management, testing, and deployment patterns at production scale. Teams also use it to evaluate new frameworks by building “yet another RealWorld” and measuring DX, bundle size, and maintainability.
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  • 7
    nanochat

    nanochat

    The best ChatGPT that $100 can buy

    ...The code is written to be read—concise training loops, transparent configs, and minimal wrappers—so you can audit each step, tweak it, and rerun without getting lost in framework indirection.
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  • 8
    4M

    4M

    4M: Massively Multimodal Masked Modeling

    4M is a training framework for “any-to-any” vision foundation models that uses tokenization and masking to scale across many modalities and tasks. The same model family can classify, segment, detect, caption, and even generate images, with a single interface for both discriminative and generative use. The repository releases code and models for multiple variants (e.g., 4M-7 and 4M-21), emphasizing transfer to unseen tasks and modalities.
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  • 9
    MetaCLIP

    MetaCLIP

    ICLR2024 Spotlight: curation/training code, metadata, distribution

    MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation across base and target domains to measure how well the model retains its general knowledge while specializing as needed. ...
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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 10
    DINOv2

    DINOv2

    PyTorch code and models for the DINOv2 self-supervised learning

    DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. ...
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  • 11
    DreamCraft3D

    DreamCraft3D

    Official implementation of DreamCraft3D

    DreamCraft3D is DeepSeek’s generative 3D modeling framework / model family that likely extends their earlier 3D efforts (e.g. Shap-E or Point-E style models) with more capability, control, or expression. The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines.
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  • 12
    3FS

    3FS

    A high-performance distributed file system

    The 3FS repository (standing likely for “Feature 3F System” or similar) is focused on providing a feature extraction and transformation framework tailored to deep and large models, especially in token-based systems. Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly. The repo includes APIs to define components (e.g. seg, ret, scor) that wrap or interface with external or internal modules, as well as logic to schedule and compose these feature transforms. ...
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  • 13
    Pundit

    Pundit

    Minimal authorization through OO design and pure Ruby classes

    Pundit (varvet/pundit) is a Ruby gem that provides a simple and effective framework for adding authorization logic to Rails (or other Ruby) applications. It centers around policy classes—one policy per model or resource—that define what actions a given user is permitted to perform (e.g., show?, update?, destroy?). Each policy method returns a boolean, and can be structured using combinators or shared logic to keep things DRY.
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  • 14
    PowerHub

    PowerHub

    A post exploitation tool based on a web application

    PowerHub is a PowerShell-based automation framework designed to centralize and orchestrate common administrative tasks across Windows environments. It exposes a modular command set for inventorying systems, managing services, deploying packages, and executing remote commands with consistent logging and error handling. The project places emphasis on discoverability and reuse: scripts are organized into reusable modules and functions with clear parameter contracts so teams can compose higher-level workflows without duplicating glue code. ...
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  • 15
    Surface

    Surface

    A server-side rendering component library for Phoenix

    ...By combining the productivity of declarative components with LiveView’s real-time updates, Surface enables rich, interactive apps without requiring a separate frontend framework like React or Vue.
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  • 16
    KubeEdge

    KubeEdge

    Kubernetes Native Edge Computing Framework (project under CNCF)

    KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image...
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  • 17
    Chronicle Queue

    Chronicle Queue

    Micro second messaging that stores everything to disk

    Micro second messaging that stores everything to disk. With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python API. All versions are fully binary compatible.
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  • 18
    Atlantis iOS

    Atlantis iOS

    A lightweight and powerful iOS framework for intercepting HTTP/HTTPS

    Don't let cumbersome web debugging tools hold you back. With Proxyman's native macOS app, you can capture, inspect, and manipulate HTTP(s) traffic with ease. Intuitive, thoughtful, and built with meticulous attention to detail. Dive into the network level to diagnose and fix problems with reliable and powerful tools. Proxyman acts as a man-in-the-middle server that captures the traffic between your applications and SSL Web Server. With a built-in macOS setup, so you can inspect your...
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  • 19
    Magnitude

    Magnitude

    Vision AI browser agent for automation, testing, and extraction

    Browser Agent by Magnitude is an open source, vision-first browser automation framework that enables users to control web interfaces using natural language instructions. It leverages visually grounded AI models to interpret and interact with web pages based on what is seen on the screen rather than relying solely on the DOM structure. This approach allows the agent to generalize better across complex and modern websites, making it more robust than traditional selector-based automation tools. ...
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  • 20
    Koila

    Koila

    Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code

    Koila is a lightweight Python library designed to help developers avoid memory errors when training deep learning models with PyTorch. The library introduces a lazy evaluation mechanism that delays computation until it is actually required, allowing the framework to better estimate the memory requirements of a model before execution. By building a computational graph first and executing operations only when necessary, koila reduces the risk of running out of GPU memory during the forward pass of neural network training. This approach enables developers to experiment with larger batch sizes and more complex architectures while maintaining stable training behavior. ...
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  • 21
    LLaMA-Mesh

    LLaMA-Mesh

    Unifying 3D Mesh Generation with Language Models

    LLaMA-Mesh is a research framework that extends large language models so they can understand and generate 3D mesh data alongside text. The system introduces a method for representing 3D meshes in a textual format by encoding vertex coordinates and face definitions as sequences that can be processed by a language model. By serializing 3D geometry into text tokens, the approach allows existing transformer architectures to generate and interpret 3D models without requiring specialized visual tokenizers. ...
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  • 22
    Pal

    Pal

    A personal context-agent that learns how you work

    Pal is an open-source AI personal agent built within the Agno ecosystem that functions as an intelligent digital assistant designed to learn from user activity over time. The system acts as an AI-powered “second brain” capable of capturing, organizing, and retrieving personal knowledge such as notes, bookmarks, research findings, people, and meeting information. Instead of acting as a simple chatbot, Pal continuously builds a structured database of a user’s knowledge and context so it can...
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  • 23
    GLM-TTS

    GLM-TTS

    Controllable & emotion-expressive zero-shot TTS

    ...It uses a two-stage architecture where a generative LLM first converts text into intermediate speech token sequences and then a Flow-based neural model converts those tokens into natural audio waveforms, enabling rich prosody and voice character even for unseen speakers. The system introduces a multi-reward reinforcement learning framework that jointly optimizes for voice similarity, emotional expressiveness, pronunciation, and intelligibility, yielding output that can rival commercial options in naturalness and expressiveness. GLM-TTS also supports phoneme-level control and hybrid text + phoneme input, giving developers precise control over pronunciation critical for multilingual or polyphone­-rich languages.
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  • 24
    USO

    USO

    Open-sourced unified customization model

    USO is ByteDance’s “Unified Style and Subject-Driven Generation” framework, open-sourced to allow customization in generative modeling by disentangling style and subject representation and using reward learning to guide generation. The system is designed such that users can control both “what” is generated (the subject: e.g. a person, object, scene) and “how” it is generated (the style: artistic style, color palette, aesthetic) separately, giving much more flexibility than conventional monolithic generative models. ...
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  • 25
    openctp

    openctp

    Provides CTP stock options and Zhongtai Securities XTP

    openctp is a technical service platform built around the CTP trading ecosystem that provides CTP compatible interfaces for a wide range of brokerage backends and markets. Its core idea is to wrap heterogeneous stock and derivatives trading gateways such as Zhongtai XTP, Huaxin Qidian TORA, and others with CTPAPI compatible interfaces, so existing CTP programs can connect simply by swapping dynamic libraries rather than rewriting code. The project offers a comprehensive simulation environment...
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