Showing 5100 open source projects for "processing"

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  • 1
    AlphaTree

    AlphaTree

    DNN && GAN && NLP && BIG DATA

    ...In addition to neural networks used for image classification, the project also references broader AI fields such as generative adversarial networks, natural language processing, and graph neural networks.
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  • 2
    course.fast.ai

    course.fast.ai

    The fast.ai course notebooks

    ...The repository includes lesson notebooks, slide presentations, spreadsheets, and supplementary materials that help students understand neural networks, computer vision, and natural language processing tasks. The materials are designed to work alongside the fast.ai book and video lectures so learners can follow a structured learning pathway through modern deep learning techniques.
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  • 3
    machine_learning_examples

    machine_learning_examples

    A collection of machine learning examples and tutorials

    ...It includes implementations of many machine learning algorithms and neural network architectures using Python and popular libraries such as TensorFlow and NumPy. The repository covers a wide range of topics including supervised learning, unsupervised learning, reinforcement learning, and natural language processing. Many of the examples are accompanied by tutorials and educational materials that explain how the algorithms work and how they can be applied in real-world projects. The code is organized into small independent experiments so that learners can explore specific algorithms or techniques without needing to understand the entire codebase.
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  • 4
    StoryGen Atelier

    StoryGen Atelier

    AI-assisted storyboard and video generation tool

    ...Once individual frames are created, a second AI model generates transition clips that smoothly link the frames into a coherent short video sequence, and the tool then assembles everything into a finished video using standard video processing tools. This pipeline transforms abstract creative ideas into shareable visual narratives, offering a powerful workflow for writers, filmmakers, content creators, and educators alike.
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  • 5
    Auto-Deep-Research

    Auto-Deep-Research

    Your Fully-Automated Personal AI Assistant

    Auto-Deep-Research is a system designed to fully automate deep research workflows using language models, retrieval, planning, and multi-stage reasoning to produce structured research artifacts such as surveys, benchmarks, reports, and even prototypes without heavy human intervention. Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction,...
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  • 6
    pangu.js

    pangu.js

    Opinionated paranoid text spacing in JavaScript

    pangu.js is a lightweight JavaScript library that automatically inserts proper spacing between Chinese, Japanese, or Korean (CJK) characters and Latin letters, numbers, or symbols. The goal is typographic polish: mixed-script text often becomes cramped or ambiguous without the correct spacing rules, and pangu.js fixes that reliably. It uses rule-based detection to walk text and add spaces where needed without altering the characters themselves. The library runs in browsers or Node.js, and...
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  • 7
    Model Zoo

    Model Zoo

    Please do not feed the models

    FluxML Model Zoo is a collection of demonstration models built with the Flux machine learning library in Julia. The repository provides ready-to-run implementations across multiple domains, including computer vision, natural language processing, and reinforcement learning. Each model is organized into its own project folder with pinned package versions, ensuring reproducibility and stability. The examples serve both as educational tools for learning Flux and as practical starting points for building new models. GPU acceleration is supported for most models through CUDA integration, enabling efficient training on compatible hardware. ...
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  • 8
    Bacalhau

    Bacalhau

    Community-driven, simple, yet powerful framework

    ...It allows developers to run containerized workloads close to where the data lives, reducing latency, cost, and privacy risks. Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for large-scale AI/ML jobs, scientific research, and content indexing in Web3 ecosystems.
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  • 9
    slop

    slop

    Queries for a selection from the user and prints the region to stdout

    ...It's commonly used as a helper tool in screen capture or automation scripts and integrates well with utilities like maim, grim, or custom scripts for capturing and processing screen regions. Written in C++ and using X11, it’s lightweight and flexible, with options to control border styling, transparency, and display output. It’s a must-have for power users and developers working in Linux environments.
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  • 10
    BrowserAI

    BrowserAI

    Run local LLMs like llama, deepseek, kokoro etc. inside your browser

    BrowserAI is a cutting-edge platform that allows users to run large language models (LLMs) directly in their web browser without the need for a server. It leverages WebGPU for accelerated performance and supports offline functionality, making it a highly efficient and privacy-conscious solution. The platform provides a developer-friendly SDK with pre-configured popular models, and it allows for seamless switching between MLC and Transformer engines. Additionally, it supports features such as...
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  • 11
    Flux.jl

    Flux.jl

    Relax! Flux is the ML library that doesn't make you tensor

    Flux is an elegant approach to machine learning. It's a 100% pure Julia stack and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable. Flux provides a single, intuitive way to define models, just like mathematical notation. Julia transparently compiles your code, optimizing and fusing kernels for the GPU, for the best performance. Existing Julia libraries are differentiable and can be incorporated...
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  • 12
    Scrimage

    Scrimage

    JVM - Java, Kotlin, Scala image processing library

    Scrimage is an immutable, functional, and performant JVM library for the manipulation of images. The aim of this library is to provide a simple and concise way to do common image operations, such as resizing to fit a required width and height, converting between formats, applying filters, and so on. It is easy to use from any language on the JVM. A typical use case for this library would be creating thumbnails of images uploaded by users in a web app, bounding a set of product images so that...
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  • 13
    encoding

    encoding

    Go package containing implementations of efficient encoding

    ...At Segment, we do a lot of marshaling and unmarshaling of data when sending, queuing, or storing messages. The resources we need to provision on the infrastructure are directly related to the type and amount of data that we are processing. At the scale we operate at, the tools we choose to build programs can have a large impact on the efficiency of our systems. It is important to explore alternative approaches when we reach the limits of the code we use. This package has no dependencies outside of the core runtime of Go. It requires a recent version of Go.
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  • 14
    JobRunr

    JobRunr

    An extremely easy way to perform background processing in Java

    Incredibly easy way to perform fire-and-forget, delayed, scheduled and recurring jobs inside Java applications using only Java 8 lambda's. CPU and I/O intensive, long-running and short-running jobs are supported. Persistent storage is done via either RDBMS (e.g. Postgres, MariaDB/MySQL, Oracle, SQL Server, DB2 and SQLite) or NoSQL (ElasticSearch, MongoDB and Redis). JobRunr provides a unified programming model to handle background tasks in a reliable way and runs them on shared hosting,...
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  • 15
    Qualitis

    Qualitis

    Qualitis is a one-stop data quality management platform

    Qualitis is a data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on. At the same time, Qualitis provides enterprise-level features of financial-level resource isolation, management and access control. ...
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  • 16
    openwechat

    openwechat

    golang WeChat SDK

    ...Message reply, send text, pictures, files, emoji and other messages to designated objects (friends, groups) Hot login (no need to repeatedly scan the code to log in), custom message processing, file download, message anti-withdrawal. Obtain object information, set friend notes, pull friends into groups, etc.
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  • 17
    ADAMANT JavaScript API library

    ADAMANT JavaScript API library

    ADAMANT Javascript API library

    ...JS API shows decentralization in action, if a network node cannot fulfill your request, the library will redirect it to another node, and so on several times. You will get the result and you do not need to think about processing the request. Health Check system pings all nodes in the list using /status endpoint, and connects to a node with actual height. When the library is unable to process requests with the current node, it forces to re-initialize Health Check.
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  • 18
    StereoKit

    StereoKit

    An easy-to-use mixed reality library for building VR applications

    StereoKit is an easy-to-use open source mixed reality library for building HoloLens and VR applications with C# and OpenXR! Inspired by libraries like XNA and Processing, StereoKit is meant to be fun to use and easy to develop with, yet still quite capable of creating professional and business-ready software. HoloLens 2, Oculus Quest, Windows Mixed Reality, Oculus Desktop, SteamVR, Monado (Linux), and eventually everywhere OpenXR is! Flat screen MR simulator with input emulation for easy development. ...
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  • 19
    Hazelcast

    Hazelcast

    Open-source distributed computation and storage platform

    ...When you add new nodes to the cluster, the data is automatically rebalanced across the cluster and currently running computational tasks (known as jobs) snapshot their state and scale with processing guarantees.
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  • 20
    XLSX

    XLSX

    Go (golang) library for reading and writing XLSX files

    ...These can be used to modify the behavior of the resultant struct, in particular they replace the `…WithRowLimit` variants of those methods with the result of calling `xlsx.RowLimit` and they add the ability to define a custom backing store for the spreadsheet data to be held in whilst processing. The full API docs can be viewed using go’s built in documentation tool.
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  • 21
    LLM Scraper

    LLM Scraper

    Extract structured data from webpages using LLM-powered scraping

    ...LLM Scraper integrates browser automation through Playwright, allowing it to load webpages and process their content before sending it to a language model for interpretation. Multiple content processing modes are supported, including raw HTML, cleaned HTML, Markdown, extracted text, screenshots, and custom inputs, making it adaptable to a wide range of scraping scenarios. LLM Scraper also provides streaming output and code generation capabilities that help developers build reusable scraping workflows.
    Downloads: 1 This Week
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  • 22
    AudioMuse-AI

    AudioMuse-AI

    AudioMuse-AI is an Open Source Dockerized environment

    AudioMuse-AI is an open-source system designed to automatically generate playlists and analyze music libraries using artificial intelligence and audio signal processing techniques. The platform runs locally in a Dockerized environment and performs detailed sonic analysis on audio files to understand characteristics such as tempo, mood, and acoustic similarity. By analyzing the underlying audio content rather than relying on external metadata services, the system can organize large personal music libraries and generate curated playlists for different moods or listening contexts. ...
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  • 23
    IMS Toucan

    IMS Toucan

    Controllable and fast Text-to-Speech for over 7000 languages

    IMS-Toucan is a toolkit for training, using, and teaching state-of-the-art text-to-speech systems, built at the Institute for Natural Language Processing (IMS), University of Stuttgart. It is the official home of ToucanTTS, a massively multilingual TTS system designed to support over 7,000 languages with a single unified framework. The toolkit focuses on being fast and controllable while not requiring huge amounts of compute, making it practical for research labs and smaller teams. ...
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  • 24
    FastRTC

    FastRTC

    The python library for real-time communication

    ...FastRTC also integrates nicely with UI frameworks (e.g. via a web demo using Gradio), so developers can rapidly prototype and deploy real-time streaming applications without deep knowledge of low-level WebRTC internals. Because voice-enabled AI agents often involve many moving parts (speech-to-text, text processing, text-to-speech, streaming, session/chat management), FastRTC helps by handling the streaming aspect, leaving the rest to be plugged in modularly.
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  • 25
    VGGSfM

    VGGSfM

    VGGSfM: Visual Geometry Grounded Deep Structure From Motion

    VGGSfM is an advanced structure-from-motion (SfM) framework jointly developed by Meta AI Research (GenAI) and the University of Oxford’s Visual Geometry Group (VGG). It reconstructs 3D geometry, dense depth, and camera poses directly from unordered or sequential images and videos. The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support...
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