Showing 5100 open source projects for "processing"

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  • 1
    Spring AI Alibaba Examples

    Spring AI Alibaba Examples

    Spring AI Alibaba examples for building and testing AI apps

    ...It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. Spring AI Alibaba Examples also supports experimentation through playground modules and encourages contributions to expand real-world AI use cases and improve development practices.
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  • 2
    Agili Hacker Podcast

    Agili Hacker Podcast

    AI tool that turns Hacker News posts into daily podcast updates

    ...This creates a hands-free way to stay updated on tech, startups, and developer discussions without reading long threads. Hacker Podcast combines content aggregation, natural language processing, and text-to-speech to deliver clear and digestible updates. Users can listen through web interfaces or podcast platforms, while also accessing written summaries for deeper reading. Built with modern web technologies, the project focuses on automation, speed, and accessibility. It supports continuous updates, allowing listeners to receive fresh insights daily. ...
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  • 3
    OpenHealth

    OpenHealth

    AI health assistant for private, local data-driven insights mgmt

    ...OpenHealth also includes a data parsing layer that transforms raw medical inputs into structured datasets, making them usable for analysis and AI-driven insights. OpenHealth separates data ingestion, processing, and AI interaction, enabling flexibility in integrating different models and data sources.
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  • 4
    douyin

    douyin

    Open source Douyin crawler for collecting and downloading public data

    DouyinCrawler is an open source data collection tool designed to gather publicly available information from the Douyin platform. It demonstrates how to build a Python-based web crawler combined with a graphical interface and command line functionality. It allows users to collect data from various types of Douyin content, including user profiles, videos, hashtags, and music pages. DouyinCrawler supports both automated scraping and batch operations to process multiple targets efficiently. It...
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  • 5
    diskover-community

    diskover-community

    Open source file indexing & storage analytics powered by Elasticsearch

    Diskover Community Edition is an open source file system indexing and storage analytics platform designed to help organizations understand and manage large volumes of file data. It crawls file systems and indexes metadata using Elasticsearch, enabling fast search, analysis, and organization of files stored across different storage systems. It allows administrators and users to explore file structures, monitor storage usage, and gain insights into how data is distributed across...
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  • 6
    news-please

    news-please

    Python tool for crawling and extracting structured data from news site

    ...It provides an integrated pipeline that crawls news sites, retrieves article pages, and extracts structured information such as headlines, authors, publication dates, and article text. news-please can recursively follow internal links and read RSS feeds to gather both recent and archived articles from a news outlet when given only the root URL of a site. It combines several established technologies and libraries to perform web crawling and content extraction, enabling reliable processing across a wide range of news sources. Developers can use the software either as a standalone command line application or integrate it into their own Python applications through its library interface. Extracted article data can be stored in different formats and systems, including JSON files or database-backed storage solutions.
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  • 7
    kg-gen

    kg-gen

    Knowledge Graph Generation from Any Text

    kg-gen is an open-source framework developed by the STAIR Lab that automatically generates knowledge graphs from unstructured text using large language models. The system is designed to transform plain text sources such as documents, articles, or conversation transcripts into structured graphs composed of entities and relationships. Instead of relying on traditional rule-based extraction techniques, KG-Gen uses language models to identify entities and their relationships, producing...
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  • 8
    React Native AI

    React Native AI

    Full stack framework for building cross-platform mobile AI apps

    React Native AI is a full-stack framework designed to simplify the development of AI-powered mobile applications using React Native. The project provides a ready-to-use infrastructure for building cross-platform apps that integrate large language models and other AI services. It supports real-time streaming responses from multiple AI providers and enables developers to build chat interfaces, AI-driven image generation tools, and natural language features within mobile apps. The framework...
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  • 9
    Fulling

    Fulling

    Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui

    ...Developers can connect external services by simply providing API credentials, allowing the AI system to automatically integrate features such as authentication or payment processing.
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  • 10
    XiangShan

    XiangShan

    Open-source high-performance RISC-V processor

    XiangShan is an open-source, high-performance RISC-V processor project that implements out-of-order superscalar cores using Chisel for hardware construction. The design targets modern performance goals—deep pipelines, speculative execution, multi-issue decode/execute, and sophisticated branch prediction—while remaining synthesizable for ASIC flows and portable to FPGAs for research. A modular microarchitecture separates frontend, backend, and memory subsystems with coherent caches and...
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  • 11
    Koog

    Koog

    Koog is the official Kotlin framework for building AI agents

    ...Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.
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  • 12
    kube-fledged

    kube-fledged

    Kubernetes operator to create and manage cache of container images

    kube-fledged is a kubernetes operator for creating and managing a cache of container images directly on the worker nodes of a Kubernetes cluster. It allows a user to define a list of images and onto which worker nodes those images should be cached (i.e. pulled). As a result, application pods start almost instantly, since the images need not be pulled from the registry. kube-fledged provides CRUD APIs to manage the lifecycle of the image cache, and supports several configurable parameters to...
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  • 13
    Kotlin Dataframe

    Kotlin Dataframe

    Structured data processing in Kotlin

    Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data...
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  • 14
    SuperDuperDB

    SuperDuperDB

    Integrate, train and manage any AI models and APIs with your database

    ...Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing.
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  • 15
    Emogrifier

    Emogrifier

    Converts CSS styles into inline style attributes in your HTML code

    Emogrifier converts CSS styles into inline style attributes in your HTML code. This ensures proper display on email and mobile device readers that lack stylesheet support. This utility was developed as part of Intervals to deal with the problems posed by certain email clients (namely Outlook 2007 and GoogleMail) when it comes to the way they handle styling contained in HTML emails. As many web developers and designers already know, certain email clients are notorious for their lack of CSS...
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  • 16
    Yew

    Yew

    Rust / Wasm framework for building client web apps

    A framework for creating reliable and efficient web applications. Features a component-based framework that makes it easy to create interactive UIs. Developers who have experience with frameworks like React and Elm should feel quite at home when using Yew. Features a macro for declaring interactive HTML with Rust expressions. Developers who have experience using JSX in React should feel quite at home when using Yew. Features server-side rendering for all the SEO and enhancements of the...
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  • 17
    GoAWK

    GoAWK

    A POSIX-compliant AWK interpreter written in Go, with CSV support

    GoAWK now uses a bytecode compiler and includes native support for CSV files. AWK is a fascinating text processing language, and The AWK Programming Language is a wonderfully concise book describing it. The A, W, and K in AWK stand for the surnames of the three original creators: Alfred Aho, Peter Weinberger, and Brian Kernighan. Kernighan is also an author of The C Programming Language (“K&R”), and the two books have that same each-page-packs-a-punch feel.
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  • 18
    Amazon ECS Container Agent

    Amazon ECS Container Agent

    Amazon Elastic Container Service Agent

    Run highly secure, reliable, and scalable containers. Launch thousands of containers across the cloud using your preferred continuous integration and delivery (CI/CD) and automation tools. Optimize your time with AWS Fargate serverless compute for containers, which eliminates the need to configure and manage control plane, nodes, and instances. Save up to 50 percent on compute costs with autonomous provisioning, auto-scaling, and pay-as-you-go pricing. Integrate seamlessly with AWS...
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  • 19
    graphql-upload

    graphql-upload

    Middleware and an Upload scalar to add support for GraphQL multipart

    ...Clients implementing the GraphQL multipart request spec upload files as Upload scalar query or mutation variables. Their resolver values are promises that resolve file upload details for processing and storage. Files are typically streamed into cloud storage but may also be stored in the filesystem. Use the middleware graphqlUploadKoa or graphqlUploadExpress just before GraphQL middleware. Alternatively, use the function processRequest to create custom middleware. The process must have both read and write access to the directory identified by os.tmpdir(). ...
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  • 20
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    ...Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK.
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  • 21
    AutoGluon

    AutoGluon

    AutoGluon: AutoML for Image, Text, and Tabular Data

    ...Automatically utilize state-of-the-art techniques (where appropriate) without expert knowledge. Leverage automatic hyperparameter tuning, model selection/ensembling, architecture search, and data processing. Easily improve/tune your bespoke models and data pipelines, or customize AutoGluon for your use-case. AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>.
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  • 22
    SageMaker Hugging Face Inference Toolkit

    SageMaker Hugging Face Inference Toolkit

    Library for serving Transformers models on Amazon SageMaker

    SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. ...
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  • 23
    Tyk API Gateway

    Tyk API Gateway

    Open Source API Gateway written in Go

    ...Enabling your organization to control who accesses your APIs, when they access, and how they access it. Tyk Technologies uses the same API Gateway for all it’s applications. Protecting, securing, and processing APIs for thousands of organizations and businesses around the world. Ideal for Open Banking, building software in the clouds as well as exposing APIs to teams, partners & consumers. Built from the ground up to be the fastest API gateway on the planet. It does not depend on a legacy proxy underneath. It has no 3rd party dependencies aside from Redis for distributed rate-limiting and token storage. ...
    Downloads: 2 This Week
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  • 24
    OnlineToolsBook

    OnlineToolsBook

    Online tool cheats, write a high-quality manual for online tools

    ...Rather than building a single web-tool, this repository serves as a knowledge base: descriptions, guidance, and possibly examples or usage notes about a variety of online tools, organized in a way that’s meant to help “make online tools benefit humanity.” For someone who frequently resorts to ad-hoc web tools to solve tasks (text manipulation, image processing, conversion, utilities), OnlineToolsBook acts as an aggregator of “cheat sheets” or curated pointer collection rather than a specific application. The intention appears to be long-term: the repository can be updated to reflect new tools, remove broken ones, organize categories, or provide usage hints — so it becomes a living, crowd-maintained reference.
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  • 25
    Roadmap To Learn Generative AI In 2025

    Roadmap To Learn Generative AI In 2025

    Basic Machine Learning Natural Language Processing Roadmap

    Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the...
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