Showing 4481 open source projects for "processing"

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  • 1
    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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  • 2
    airda

    airda

    airda(Air Data Agent

    airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes.
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  • 3
    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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  • 4
    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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  • 5
    RESTinio

    RESTinio

    HTTP/WebSocket server C++14 library

    RESTinio is a header-only C++14 library that gives you an embedded HTTP/WebSocket server. It is based on the standalone version of ASIO and is targeted primarily for the asynchronous processing of HTTP requests. Since v.0.4.1 Boost::ASIO (1.66 or higher) is also supported. Consider the task of writing a C++ application that must support some REST API, RESTinio represents our solution for that task. Server runs on the main thread, and responds to all requests with a hello-world message. Of course, you've got access to the structure of a given HTTP request, so you can apply complex logic for handling requests. ...
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  • 6
    Sōzu

    Sōzu

    Sōzu HTTP reverse proxy, configurable at runtime, fast and safe

    Open source HTTP reverse proxy built in Rust for immutable infrastructures. Most existing tools have a static vision of production: a service is installed once on a long-lived server, updated from time to time, with configuration rarely changing. There's now a shift in infrastructure to short-lived virtual machines and hundreds of new deployments per day, and the usual tools reach their limits. How do we reconcile a dynamic environment with availability guarantees? How can we get "zero...
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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    PyTorch Geometric Temporal

    PyTorch Geometric Temporal

    Spatiotemporal Signal Processing with Neural Machine Learning Models

    The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic...
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  • 14
    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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  • 15
    CDC Connectors for Apache Flink

    CDC Connectors for Apache Flink

    CDC Connectors for Apache Flink

    ...CDC Connectors for Apache Flink® integrates Debezium as the engine to capture data changes. So it can fully leverage the ability of Debezium. Supports reading database snapshot and continues to read transaction logs with exactly-once processing even failures happen. CDC connectors for DataStream API, users can consume changes on multiple databases and tables in a single job without Debezium and Kafka deployed. CDC connectors for Table/SQL API, users can use SQL DDL to create a CDC source to monitor changes on a single table. CDC Connectors for Apache Flink® supports ingesting snapshot data and real time changes from databases to Flink®.
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  • 16
    Tweepy

    Tweepy

    Twitter for Python

    An easy-to-use Python library for accessing the Twitter API. You can also use Git to clone the repository from GitHub to install the latest development version. The easiest way to install the latest version from PyPI is by using pip. Twitter requires all requests to use OAuth for authentication. The API class provides access to the entire twitter RESTful API methods. Each method can accept various parameters and return responses. When we invoke an API method most of the time returned back to...
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  • 17
    Chinese-LLaMA-Alpaca 2

    Chinese-LLaMA-Alpaca 2

    Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project

    This project is developed based on the commercially available large model Llama-2 released by Meta. It is the second phase of the Chinese LLaMA&Alpaca large model project. The Chinese LLaMA-2 base model and the Alpaca-2 instruction fine-tuning large model are open-sourced. These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of...
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  • 18
    Transformers4Rec

    Transformers4Rec

    Transformers4Rec is a flexible and efficient library

    Transformers4Rec is an advanced recommendation system library that leverages Transformer models for sequential and session-based recommendations. The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. ...
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  • 19
    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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  • 20
    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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  • 21
    Down

    Down

    Streaming downloads using Net::HTTP, http.rb or HTTPX

    ...It exposes distinct exception classes and content validation options, so callers can differentiate transient network issues from invalid responses. In practice, Down is often used as the dependable download layer in upload/processing pipelines where robustness matters more than raw feature bloat.
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  • 22
    ReductStore

    ReductStore

    The fastest time series object store for Edge AI

    History storage and management of images, vibration data, text, labels, and more - all in one place with the highest performance. Merge blob and time series functionalities, reducing the need for multiple databases. Customize real-time data retention policies and replication strategies. Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. Capture and access blob data as time...
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  • 23
    HCL

    HCL

    HCL is the HashiCorp configuration language

    ...The application defines which attribute names and nested block types are expected, and HCL parses the configuration file, verifies that it conforms to the expected structure, and returns high-level objects that the application can use for further processing.
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  • 24
    Zappa - Serverless Python

    Zappa - Serverless Python

    Serverless Python

    ...That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. ...
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  • 25
    Jina

    Jina

    Build cross-modal and multimodal applications on the cloud

    Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP,...
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