Showing 2638 open source projects for "key"

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  • 1
    Reshaped

    Reshaped

    Professionally crafted React & Figma components

    ...The library includes a wide range of production-ready components, from basic inputs and buttons to more complex elements such as tables, calendars, and data visualization tools. A key strength of Reshaped is its emphasis on accessibility, responsiveness, and theming, ensuring that interfaces meet modern usability standards while remaining adaptable to different product needs. The project is structured into multiple packages, including styled components, headless components, and framework-agnostic utilities, allowing developers to choose the level of abstraction that best fits their workflow.
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  • 2
    Artichoke Ruby

    Artichoke Ruby

    Artichoke is a Ruby made with Rust

    ...It is designed to be compatible with MRI Ruby while exploring new approaches to performance, safety, and execution models through Rust’s systems programming capabilities. One of its key goals is to enable Ruby to run in environments where traditional implementations struggle, including WebAssembly and sandboxed or untrusted execution contexts. Artichoke features a modular architecture composed of multiple Rust crates, allowing developers to customize and embed the interpreter into their own applications. It includes tools such as a command-line interpreter and an interactive REPL, making it usable both as a runtime and a development environment. ...
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  • 3
    The Bitdefender disassembler

    The Bitdefender disassembler

    bddisasm is a fast, lightweight, x86/x64 instruction decoder

    ...The project also includes a companion component called bdshemu, which provides a minimal instruction emulator capable of analyzing shellcode-like behavior in a controlled environment. Its performance is a key strength, achieving millions of decoded instructions per second while maintaining thread safety and deterministic behavior.
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  • 4
    Companion notebooks for Deep Learning

    Companion notebooks for Deep Learning

    Jupyter notebooks for the code samples of the book

    Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. ...
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  • 5
    The AI Scientist-v2

    The AI Scientist-v2

    Workshop-Level Automated Scientific Discovery via Agentic Tree Search

    ...It introduces a generalized framework that removes reliance on predefined templates, enabling broader applicability across multiple machine learning domains and more open-ended exploration of research problems. A key innovation is its progressive agentic tree search, which systematically explores experimental paths and is coordinated by an experiment manager agent that guides decision-making. The system also integrates automated review mechanisms, including vision-language feedback loops, to iteratively refine the quality of generated research outputs.
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  • 6
    Swap

    Swap

    Currency exchange rates library

    ...The library supports both real-time and historical exchange rates, making it suitable for financial applications that require accurate and time-sensitive data. One of its key strengths is its ability to define fallback providers, ensuring reliability even if a primary data source fails. Swap also includes optional caching mechanisms to reduce API calls and improve performance in production environments. It integrates seamlessly with frameworks like Symfony and Laravel, making it easy to incorporate into existing PHP applications.
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  • 7
    model2Vec

    model2Vec

    Fast State-of-the-Art Static Embeddings

    ...The resulting models can be used for a wide range of tasks, including semantic search, clustering, classification, and retrieval-augmented generation systems. One of its key advantages is its simplicity, as it requires minimal dependencies and can generate embeddings extremely quickly compared to traditional transformer-based approaches.
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  • 8
    MarkFlowy

    MarkFlowy

    The AI Markdown Editor

    ...MarkFlowy also includes a robust file management system with features like global search, drag-and-drop organization, and support for multiple file types beyond Markdown, such as JSON and plain text. Customization is a key aspect of the platform, with support for themes, keyboard shortcuts, and extensibility through plugins and integrations.
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  • 9
    Amurex

    Amurex

    World's first AI meeting copilot

    ...The system leverages advanced AI to generate live suggestions during meetings, helping participants respond more effectively and stay aligned with discussion goals. It also captures full transcripts and automatically produces structured summaries, key takeaways, and action items, reducing the need for manual note-taking. Amurex includes features such as late-join recaps and automated follow-up email generation, ensuring that users can stay informed and maintain continuity even when joining meetings late or managing multiple conversations.
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  • 10
    ZML

    ZML

    Any model. Any hardware. Zero compromise

    ...The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across different machines or locations. One of its key strengths is cross-compilation, enabling developers to build once and deploy across various platforms without rewriting code. zml provides example implementations of models and workflows, demonstrating how to run inference tasks such as image classification or large language models. It is designed to handle complex distributed setups, including scenarios where model components are split across devices connected via networks.
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  • 11
    CUDA-QX

    CUDA-QX

    Accelerated libraries for quantum-classical computing built on CUDA-Q

    ...The libraries are intended to help researchers and developers leverage GPUs, CPUs, and quantum processing units together in a unified computational model. CUDA-QX focuses on key areas such as quantum error correction and hybrid solver algorithms, offering high-level APIs that simplify complex quantum workflows. By abstracting low-level details and providing ready-to-use components, it accelerates experimentation and development in quantum computing research. The project is part of NVIDIA’s broader effort to enable scalable quantum-classical computing systems through hardware-agnostic programming models.
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  • 12
    Berglas

    Berglas

    A tool for managing secrets on Google Cloud

    Berglas is a command-line tool and Go library for managing secrets on Google Cloud in a way that reduces the manual work typically involved in secret handling. It is built to store and retrieve secrets securely by encrypting them with Cloud KMS and storing them in Cloud Storage, while also providing an interoperable layer for Secret Manager. The project serves two related purposes: as a CLI, it automates secret encryption, decryption, and storage workflows, and as a library, it helps inject...
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  • 13
    docext

    docext

    An on-premises, OCR-free unstructured data extraction

    ...Unlike traditional document processing pipelines that rely heavily on optical character recognition, docext leverages multimodal AI models capable of understanding both visual and textual information directly from document images. This allows the system to detect and extract structured elements such as tables, signatures, key fields, and layout information while maintaining semantic understanding of the document content. The toolkit can also convert complex documents into structured markdown representations that preserve formatting and contextual relationships.
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  • 14
    GPU Puzzles

    GPU Puzzles

    Solve puzzles. Learn CUDA

    GPU Puzzles is an educational project designed to teach GPU programming concepts through interactive coding exercises and puzzles. Instead of presenting traditional lecture-style explanations, the project immerses learners directly in hands-on programming tasks that demonstrate how GPU computation works. The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively...
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  • 15
    NLP-Knowledge-Graph

    NLP-Knowledge-Graph

    Research and application of technologies such as nl processing

    ...The project aims to help researchers and developers understand how structured knowledge representations can enhance language processing systems. It includes curated materials covering key topics such as knowledge graph construction, entity recognition, relation extraction, graph embeddings, and semantic reasoning. By combining NLP techniques with graph-based data models, knowledge graphs allow systems to represent complex relationships between entities and improve tasks such as question answering, information retrieval, and recommendation systems. ...
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  • 16
    SageAttention

    SageAttention

    NeurIPS2025 Spotlight] Quantized Attention

    ...Since attention operations are often the most computationally expensive component of modern AI models, SageAttention introduces quantization techniques that significantly reduce computational overhead while preserving model accuracy. The system achieves this by using low-precision numerical formats such as INT4, FP8, or INT8 to represent key matrices within the attention computation. These optimizations allow models to perform matrix operations faster and consume less memory during inference. SageAttention is designed to function as a plug-and-play replacement for standard attention implementations, enabling developers to accelerate existing models without modifying their architecture.
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  • 17
    YourInfo

    YourInfo

    Real-time browser fingerprinting demo with cross-browser tracking

    YourInfo is a personal information management tool designed to let users securely store, structure, and retrieve their key data — such as contacts, credentials, personal notes, and preferences — while also enabling AI-assisted queries or reminders using that data. The platform prioritizes privacy by focusing on local storage or user-controlled databases, ensuring sensitive data stays under the user’s control rather than in third-party servers. Users can define types of information, tag entries for quick categorization, and perform intuitive searches when they need to recall something like a phone number, address, or secret detail. ...
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  • 18
    SERA CLI

    SERA CLI

    A tool to use the Ai2 Open Coding Agents Soft-Verified Agents

    SERA CLI is a command-line tool created by AllenAI to enable developers to interact with the SERA (Soft-Verified Efficient Repository Agents) model family using Claude Code as the execution front end. It provides a convenient interface for deploying, testing, and using SERA models without needing to write scaffold code from scratch, acting as both a proxy and utility wrapper to simplify workflows that involve large agent models. Through sera-cli, users can connect to local or cloud-hosted...
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  • 19
    Localflare

    Localflare

    local cloudflare

    Localflare is a local development dashboard for Cloudflare Workers that lets you visualize and interact with your Worker resources while you build. Instead of juggling multiple CLIs and scattered logs, it gives you a unified UI for common Cloudflare primitives like D1 databases, KV namespaces, R2 buckets, Durable Objects, and Queues. The D1 experience is more than a viewer: it includes a SQL editor and a data browser with inline editing, filtering, sorting, bulk operations, and even dummy...
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  • 20
    Z80-μLM

    Z80-μLM

    Z80-μLM is a 2-bit quantized language model

    ...The repository provides a complete workflow where you train or fine-tune conversational models in Python, then export them into a format that can be executed on classic Z80 systems. A key deliverable is producing CP/M-compatible .COM binaries, enabling a genuinely vintage “chat with your computer” experience on real hardware or accurate emulators. The project sits at the intersection of machine learning and systems constraints, showing how model architecture, quantization, and inference code generation can be adapted to extreme memory and compute limits. ...
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  • 21
    Open Collective

    Open Collective

    Online funding platform for open and transparent communities

    ...Open Collective itself is a platform that helps communities and open-source projects raise funds while sharing finances transparently, and this repo functions as the “front door” for discussion and governance across the wider set of services. It aggregates key organisational materials such as policies, contribution guidelines, community guidance, and postmortems, making it easier for contributors to understand how the project runs and how decisions are made. It also points developers to the split codebase architecture, where major components like the API, frontend, image service, PDF export service, and REST service live in separate repositories.
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  • 22
    Meridian

    Meridian

    Meridian is an MMM framework

    Meridian is a comprehensive, open source marketing mix modeling (MMM) framework developed by Google to help advertisers analyze and optimize the impact of their marketing investments. Built on Bayesian causal inference principles, Meridian enables organizations to evaluate how different marketing channels influence key performance indicators (KPIs) such as revenue or conversions while accounting for external factors like seasonality or economic trends. The framework provides a robust foundation for constructing in-house MMM pipelines capable of handling both national and geo-level data, with built-in support for calibration using experimental data or prior knowledge. ...
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  • 23
    Behaviour Suite Reinforcement Learning

    Behaviour Suite Reinforcement Learning

    bsuite is a collection of carefully-designed experiments

    ...The library enables researchers to benchmark their agents on standardized tasks, facilitating reproducible and transparent comparisons across different approaches. Each experiment in bsuite is meticulously designed to capture key challenges in RL, such as exploration, credit assignment, and stability. The framework supports automated logging and analysis, generating standardized output compatible with Jupyter notebooks for streamlined evaluation. It also integrates easily with existing RL libraries and can be used locally or via cloud computing platforms, including Google Cloud.
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  • 24
    pgstream

    pgstream

    PostgreSQL replication with DDL changes

    pgstream is an open source CDC command-line tool and library that offers Postgres replication support with DDL changes to any provided output. One of the main differentiators of pgstream is the fact that it tracks and replicates schema changes automatically. It relies on SQL triggers that will populate a Postgres table (pgstream.schema_log) containing a history log of all DDL changes for a given schema. Whenever a schema change occurs, this trigger creates a new row in the schema log table...
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  • 25
    tabby.nvim

    tabby.nvim

    A declarative, highly configurable, and neovim style tabline plugin

    A declarative, highly configurable, and neovim style tabline plugin. Use your nvim tabs as a workspace multiplexer. Compatibility has always been a key consideration for tabby.nvim. Since its inception during the Neovim 0.5 era, the landscape of plugin management and semantic versioning has not been widely adopted; hence, we have made every effort to maintain backward compatibility with each release. A tab page in vim holds one or more windows(not buffers). You can easily switch between tab pages to have several collections of windows to work on different things. ...
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