Showing 2679 open source projects for "types"

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    Ship Agents Faster

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  • 1
    Paperless-AI

    Paperless-AI

    AI-powered document analysis and tagging for Paperless-ngx

    Paperless-AI is an AI-powered extension designed to enhance document management within Paperless-ngx by automating analysis, classification, and organization tasks. It continuously monitors incoming documents and processes them using various AI backends, enabling automatic assignment of titles, tags, document types, and correspondents. It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire document archive. Users can ask contextual questions about their files and receive precise answers based on full document understanding rather than simple keyword matching. ...
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  • 2
    WhatsApp MCP Server

    WhatsApp MCP Server

    WhatsApp MCP server enabling AI access to chats and messaging

    ...All message data is stored in a local SQLite database and is only accessed when explicitly requested through defined tools, giving users control over how their data is used. It supports both sending and receiving messages, including various media types such as images, audio, videos, and documents. It integrates with AI applications like Claude through MCP, enabling conversational automation and contextual message retrieval.
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  • 3
    Kaggle Solutions

    Kaggle Solutions

    Collection of Kaggle Solutions and Ideas

    ...Because the content is organized by competition categories such as computer vision, natural language processing, tabular data, and time-series forecasting, users can explore techniques relevant to specific problem types.
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  • 4
    MyScaleDB

    MyScaleDB

    A @ClickHouse fork that supports high-performance vector search

    MyScaleDB is an open-source SQL vector database designed for building large-scale AI and machine learning applications that require both analytical queries and semantic vector search. The system is built on top of the ClickHouse database engine and extends it with specialized indexing and search capabilities optimized for vector embeddings. This design allows developers to store structured data, unstructured text, and high-dimensional vector embeddings within a single database platform....
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  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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  • 5
    AICGSecEval

    AICGSecEval

    A.S.E (AICGSecEval) is a repository-level AI-generated code security

    AICGSecEval is an open-source benchmark framework designed to evaluate the security of code generated by artificial intelligence systems. The project was developed to address concerns that AI-assisted programming tools may produce insecure code containing vulnerabilities such as injection flaws or unsafe logic. The framework constructs evaluation tasks based on real-world software repositories and known vulnerability cases derived from CVE records. By simulating realistic development...
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  • 6
    E2M

    E2M

    E2M converts various file types (doc, docx, epub, html, htm, url

    E2M is a SourceForge mirror of the e2m open-source project, which focuses on providing tools or services designed to convert or process content between different formats or systems. Projects with similar naming conventions typically emphasize automation workflows where input data from one environment is transformed into another representation or output structure. The mirrored repository allows users to access the project’s codebase independently from its original hosting platform while...
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  • 7
    OmAgent

    OmAgent

    Build multimodal language agents for fast prototype and production

    OmAgent is an open-source Python framework designed to simplify the development of multimodal language agents that can reason, plan, and interact with different types of data sources. The framework provides abstractions and infrastructure for building AI agents that operate on text, images, video, and audio while maintaining a relatively simple interface for developers. Instead of forcing developers to implement complex orchestration logic manually, the system manages task scheduling, worker coordination, and node optimization behind the scenes. ...
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  • 8
    NExT-GPT

    NExT-GPT

    Code and models for ICML 2024 paper, NExT-GPT

    ...The system connects a large language model with multimodal encoders and diffusion-based decoders so it can interpret information from different sensory formats and generate responses in different media types. This architecture allows the model to convert between modalities, such as generating images from text descriptions or producing audio or video outputs based on textual prompts. The project also introduces instruction-tuning strategies that enable the model to perform complex multimodal reasoning and generation tasks with minimal additional parameters.
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  • 9
    MemFree

    MemFree

    Hybrid AI Search Engine & AI Page Generator

    memfree is an open source hybrid AI search engine and page generation platform designed to help users retrieve information from both personal knowledge bases and the public web through a unified interface. The project combines retrieval-augmented search with AI summarization to deliver concise answers instead of forcing users to manually sift through multiple sources. It supports multiple AI models and search providers, enabling flexible configuration depending on cost, performance, or...
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  • 10
    Unstract

    Unstract

    No-code LLM Platform to launch APIs and ETL Pipelines

    ...Unstract supports deploying structured extraction as REST API endpoints or embedding it into data engineering ETL pipelines, which allows it to plug directly into data warehouses, cloud storage, or downstream analytics systems. Its platform works with a broad variety of file types — from PDFs and spreadsheets to images — and includes integrations with databases, cloud storage providers, and vector databases.
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  • 11
    Flowsurface

    Flowsurface

    A native desktop charting platform for crypto markets

    Flowsurface is a powerful open-source desktop charting platform tailored for crypto markets, built primarily in Rust with a focus on real-time data visualization and market microstructure analysis. Instead of traditional price charts alone, Flowsurface emphasizes order flow and liquidity visualization through advanced chart types like historical DOM heatmaps, footprint charts, and depth ladder displays. This enables traders and analysts to understand actual executed trades, liquidity distribution, and tempo changes that often precede significant market movements. The platform connects directly to public exchange APIs and WebSocket streams from venues such as Binance, Bybit, and OKX, allowing low-latency real-time data ingestion without relying on third-party servers. ...
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  • 12
    Lingvo

    Lingvo

    Framework for building neural networks

    Lingvo is a TensorFlow based framework focused on building and training sequence models, especially for language and speech tasks. 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...
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  • 13
    Docco

    Docco

    Literate Programming can be Quick and Dirty

    Docco is a documentation generator by Jeremy Ashkenas that embraces the literate-programming style: it takes your source code and produces annotated HTML documentation that shows your comments side-by-side with your code. The idea is to read code like a book — commentary on one side, code on the other — which helps reviewers and learners understand intent and implementation simultaneously. It supports many languages (via configuration) and is intentionally quick and dirty, prioritizing...
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  • 14
    onedark.vim

    onedark.vim

    A dark Vim/Neovim color scheme

    onedark.vim is a dark colour scheme for Vim/Neovim created by Josh Dick, inspired by the Atom editor’s “One Dark” theme. It aims to offer a modern, balanced palette with good contrast and readability across many programming languages and file types. The theme supports both plain Vim and Neovim, and works well with statusline plugins like vim-airline or lightline by providing compatible theme files. Users appreciate that the colour choices remain consistently comfortable over long coding sessions and that the theme handles syntax elements (keywords, methods, variables) in a clear, differentiated way. ...
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  • 15
    Copilot.vim

    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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  • 16
    Autocxx

    Autocxx

    Tool for safe ergonomic Rust/C++ interop driven from existing C++

    ...With autocxx, developers can include C++ headers directly in Rust source code and automatically generate bindings for the corresponding C++ classes, functions, and types. This approach greatly simplifies working with existing C++ libraries in Rust while maintaining safety and memory correctness. By reducing the amount of boilerplate and manual configuration typically needed for FFI (Foreign Function Interface) bindings, autocxx allows developers to focus on higher-level logic rather than low-level integration details.
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  • 17
    pprof

    pprof

    pprof is a tool for visualization and analysis of profiling data

    pprof is a profiling visualization and analysis tool that ingests profiles in the profile.proto format and generates human-readable and graph-based reports. It supports multiple profile types (CPU, heap, allocations, contention, etc.) and can present data as text tables, call graphs (via Graphviz/dot), flame graphs, and interactive web UIs. The tool helps developers find hot paths, quantify resource usage, and compare profiles across runs to validate performance changes. It is widely used in Go but also has bindings and exporters for other ecosystems, and the repository includes a Go package for reading and writing profiles programmatically. ...
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  • 18
    Swift Argument Parser

    Swift Argument Parser

    Straightforward, type-safe argument parsing for Swift

    Swift Argument Parser is a type-safe, declarative library for building Swift command-line tools by annotating your command types with property wrappers like @Option, @Argument, and @Flag. It handles parsing, validation, automatic help generation, and dispatch to your run() or async entry point, letting you focus on command logic instead of boilerplate. The package supports subcommands, default values, custom parsing strategies, and rich error messages that match platform conventions. ...
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  • 19
    PLT (Programming Languages Theory)

    PLT (Programming Languages Theory)

    Programming Language Theory

    ...It spans foundational topics like lambda calculus, type systems, interpreters, compilers, and formal semantics, while also pointing to contemporary areas such as effect systems, dependent types, and verification. Each section clusters materials by theme so learners can build understanding step by step instead of grazing at random. The list emphasizes primary sources and high-quality lectures, encouraging readers to engage with rigorous treatments rather than superficial summaries. It’s designed to serve both as a starting guide for newcomers and as a reference index for experienced practitioners, filling in gaps. ...
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  • 20
    ggrepel

    ggrepel

    epel overlapping text labels away from each other in your ggplot2

    ggrepel is an R package that provides “smart” repulsion for text and label geoms in ggplot2. When placing text labels on a plot (e.g. labeling points), the labels can often overlap; ggrepel ensures labels don’t overlap (or overlap less) by repelling labels / pushing them away, adding connecting lines or nudges, etc. It improves the readability of plots, especially when many labels are present. Support for point and segment geoms (so labels can be connected by lines when moved). Supports both...
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  • 21
    Fastify

    Fastify

    Fast and low overhead web framework, for Node.js

    ...Built-in hooks (such as onRequest, preHandler, and onSend) and lightweight decorators make it easy to insert cross-cutting concerns like auth, caching, and metrics. Fastify ships with thoughtful defaults like structured logging via Pino and AJV for schema validation, and it has first-class TypeScript types. The result is a server stack that scales to high throughput while remaining easy to reason about in production.
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  • 22
    Laravel Echo

    Laravel Echo

    Laravel Echo library for beautiful Pusher and Ably integration

    ...When some data is updated on the server, a message is typically sent over a WebSocket connection to be handled by the client. This provides a more robust, efficient alternative to continually polling your application for changes. To assist you in building these types of applications, Laravel makes it easy to "broadcast" your events over a WebSocket connection. Broadcasting your Laravel events allows you to share the same event names between your server-side code and your client-side JavaScript application. Laravel Echo is a JavaScript library that makes it painless to subscribe to channels and listen for events broadcast by Laravel. ...
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  • 23
    Knative Eventing

    Knative Eventing

    Event-driven application platform for Kubernetes

    ...You can use these APIs to create components that route events from event producers (known as sources) to event consumers (known as sinks) that receive events. Sinks can also be configured to respond to HTTP requests by sending a response event. Knative Eventing is a standalone platform that provides support for various types of workloads, including standard Kubernetes Services and Knative Serving Services. Knative Eventing uses standard HTTP requests to route events from event producers to event consumers, following the rules set by the CloudEvents specification. This is a standard set up by the CNCF that has wide support for many programming languages, making it easy to create, understand, send, and receive events.
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  • 24
    KWOK

    KWOK

    Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters

    KWOK is a toolkit that enables setting up a cluster of thousands of Nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint that you can easily play around with on your laptop.
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  • 25
    PackageCompiler

    PackageCompiler

    Compile your Julia Package

    Julia is, in general, a "just-barely-ahead-of-time" compiled language. When you call a function for the first time, Julia compiles it for precisely the types of arguments given. This can take some time. All subsequent calls within that same session use this fast compiled function, but if you restart Julia you lose all the compiled work. PackageCompiler allows you to do this work upfront — further ahead of time — and store the results for a lower latency startup. You can save loaded packages and compiled functions into a file (called a sysimage) that you pass to Julia upon startup. ...
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