Showing 5835 open source projects for "high"

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  • 1
    Diplomacy Cicero

    Diplomacy Cicero

    Code for Cicero, an AI agent that plays the game of Diplomacy

    ...It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant focused on no-press diplomacy) as described in the README. The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use.
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  • 2
    Chartkick

    Chartkick

    Create beautiful JavaScript charts with one line of Ruby

    Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. It also handles things like automatic labels, legends, colors, and responsiveness without requiring you to manually configure chart options. ...
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  • 3
    uni-app

    uni-app

    A cross-platform framework using Vue.js

    uni-app is a cross-platform framework that lets developers build applications with Vue syntax and deploy them to multiple targets: iOS, Android, web (H5), and a range of mini-program ecosystems. It abstracts platform differences through a unified component and API layer, so most business logic and UI code can be shared across outputs. The tooling includes a CLI, IDE support, and a plugin market that provides native integrations, UI kits, and deployment helpers. Developers can choose between...
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  • 4
    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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  • 5
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive...
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  • 6
    KrakenD

    KrakenD

    High-performance, stateless, declarative, API Gateway written in Go.

    KrakenD is more than a typical proxy that forwards clients to backend services, but a powerful engine that can transform, aggregate or remove data from your own or third party services. KrakenD also implements the Backend for Frontend and Micro-frontends patterns to eliminate the necessity of dealing with multiple REST services, isolating clients from the micro-service implementation details. KrakenD's stateless architecture and performance-first approach for every internal component beat...
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  • 7
    The Lura Project framework

    The Lura Project framework

    Ultra performant API Gateway with middlewares

    An extendable, simple and stateless high-performance API Gateway framework designed for both cloud-native and on-prem setups. Consumers of REST API content (specially in microservices) often query backend services that weren’t coded for the UI implementation. This is of course a good practice, but the UI consumers need to do implementations that suffer a lot of complexity and burden with the sizes of their microservices responses.
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  • 8
    Spring Data Redis

    Spring Data Redis

    Provides support to increase developer productivity in Java

    ...Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X.
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  • 9
    FLAML

    FLAML

    A fast library for AutoML and tuning

    FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically. It frees users from selecting learners and hyperparameters for each learner. For common machine learning tasks like classification and regression, it quickly finds quality models for user-provided data with low computational resources. It supports both classical machine learning models and deep neural networks. It is easy to customize or extend. Users can find their...
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  • 10
    Jina

    Jina

    Build cross-modal and multimodal applications on the cloud

    ...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, GraphQL protocols with TLS. Intuitive design pattern for high-performance microservices. Seamless Docker container integration: sharing, exploring, sandboxing, versioning and dependency control via Jina Hub. Fast deployment to Kubernetes, Docker Compose and Jina Cloud. Improved engineering efficiency thanks to the Jina AI ecosystem, so you can focus on innovating with the data applications you build.
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  • 11
    Render Farm Deployment Kit on AWS (RFDK)

    Render Farm Deployment Kit on AWS (RFDK)

    Library for use with the AWS Cloud Development Kit

    The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. ...
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  • 12
    Squidex

    Squidex

    Headless CMS and content managment hub

    You don't need another system for your content. You need it in a single place. Centralized, structured, and with seamless integrations to other systems. Available from everywhere and for all digital platforms, such as Apps, websites, and server applications. All changes in Squidex are handled by a versioning system. This makes it possible to compare different versions of your content and to roll back to a previous version. It also provides the audit log, so that you can see who did what and...
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  • 13
    cuDF

    cuDF

    GPU DataFrame Library

    ...The RAPIDS suite of open-source software libraries aims to enable the execution of end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization but exposing that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
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  • 14
    Tencent Cloud Code Analysis

    Tencent Cloud Code Analysis

    Static code analysis

    Tencent Cloud Code Analysis (TCA for short, used internally by the R&D code CodeDog ) is a cloud-native, distributed, high-performance comprehensive code analysis and tracking platform that integrates many analysis tools, including server, web and client The three components have integrated a number of self-developed tools, and also support the dynamic integration of analysis tools of various programming languages ​​in the industry. Obtain the Tencent Cloud code analysis platform by deploying TCA Server and Web, and complete the creation of related projects on the platform. ...
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  • 15
    BNB Chain

    BNB Chain

    A Binance Smart Chain client based on the go-ethereum fork

    The goal of Binance Smart Chain is to bring programmability and interoperability to Binance Chain. In order to embrace the existing popular community and advanced technology, it will bring huge benefits by staying compatible with all the existing smart contracts on Ethereum and Ethereum tooling. And to achieve that, the easiest solution is to develop based on the go-Ethereum fork, as we respect the great work of Ethereum very much. Binance Smart Chain starts its development based on...
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  • 16
    TBOX

    TBOX

    A glib-like multi-platform c library

    ...Implements stream transfer. Implements the static buffer stream for parsing data. Supports coroutine and implements asynchronous operation. The coroutine library. Provides high-performance coroutine switch. Supports arm, arm64, x86, x86_64. Provides channel interfaces. Provides semaphore and lock interfaces. Supports io socket and stream operation in coroutine. Provides some io servers (http ..) using coroutine. Provides stackfull and stackless coroutines.
    Downloads: 0 This Week
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  • 17
    L7

    L7

    Large-scale WebGL-powered geospatial data visualization analysis

    L7 is a WebGL-based open source large-scale geospatial data visual analysis development framework launched by Ant Financial's AntV data visualization team. The L in L7 stands for Location, and the 7 stands for the seven continents of the world, implying the ability to provide visual analysis for global location data. L7 focuses on the visual expression of data, and realizes clear and effective expression from data to information through the setting of visual variables such as color, size,...
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  • 18
    Timber themes

    Timber themes

    Create WordPress themes with OOP code and the Twig template engine

    Timber helps you create fully-customized WordPress themes faster with more sustainable code. With Timber, you write your HTML using the Twig Template Engine separate from your PHP files. This cleans up your theme code so, for example, your PHP file can focus on being the data/logic, while your Twig file can focus 100% on the HTML and display. Once Timber is installed and activated in your plugins directory, it gives any WordPress theme the ability to take advantage of the power of Twig and...
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  • 19
    Faiss

    Faiss

    Library for efficient similarity search and clustering dense vectors

    Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It...
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  • 20
    Inferno

    Inferno

    React-like JavaScript library for building modern user interfaces

    Inferno is an insanely fast, React-like library for building high-performance user interfaces on both the client and server. React-like API, concepts and component lifecycle events. Switch over easily with inferno-compat. One of the fastest front-end frameworks for rendering UI in the DOM, making 60 FPS on mobile possible. Isomorphic rendering on both client and server, along with fast-booting from server-side renders.
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  • 21
    fastai

    fastai

    Deep learning library

    fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. ...
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  • 22
    OAGI Python SDK

    OAGI Python SDK

    Python SDK for the Computer Use model Lux, developed by OpenAGI

    ...The SDK is designed around “computer use” as a paradigm, where the AI actually navigates interfaces, clicks, types, scrolls, and reads the screen through screenshots instead of only calling APIs. It provides high-level asynchronous agents (like AsyncDefaultAgent and AsyncActor) that encapsulate the loop of capturing screenshots, sending them to Lux, interpreting responses, and executing UI actions with PyAutoGUI. Multiple installation flavors let you choose between a minimal oagi-core package or variants that bundle desktop automation and FastAPI/Socket.IO server capabilities.
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  • 23
    DragonianVoice

    DragonianVoice

    C++ inference library for multiple SVC/TTS

    DragonianVoice is a C++ inference library that unifies multiple speech synthesis, voice conversion, and singing voice synthesis models under a single, high-performance ONNX-based framework. It focuses on being a reusable native library rather than a full UI product, with bindings for C, C++, and C# so it can be embedded into other applications or engines. The project supports a wide range of model families: TTS models such as Tacotron2, VITS, EmotionalVITS, BERTVits2, GPT-SoVITS, SVC systems like SoVitsSvc (v2/v3/v4), RVC, DiffSvc, DiffusionSvc, FishDiffusion, ReflowSvc, and even singing systems like DiffSinger and related pitch/feature extractors like FCPE and RMVPE. ...
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  • 24
    sqlite-utils

    sqlite-utils

    Python CLI utility and library for manipulating SQLite databases

    ...As a CLI, it lets you build databases from structured data in one line, run queries against local files or in-memory databases, output results as JSON, CSV, or pretty tables, and configure full-text search. As a library, it exposes high-level APIs for inserting records, creating or transforming tables, normalizing schemas, and running migrations that SQLite’s limited ALTER TABLE cannot handle directly. The project also embraces an ecosystem of plugins, so you can add custom SQL functions, extra commands, or UIs (including a terminal UI) via separate packages. Because it’s designed by someone who uses SQLite heavily in real projects, the tool includes many small quality-of-life features.
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  • 25
    HunyuanWorld-Voyager

    HunyuanWorld-Voyager

    RGBD video generation model conditioned on camera input

    HunyuanWorld-Voyager is a next-generation video diffusion framework developed by Tencent-Hunyuan for generating world-consistent 3D scene videos from a single input image. By leveraging user-defined camera paths, it enables immersive scene exploration and supports controllable video synthesis with high realism. The system jointly produces aligned RGB and depth video sequences, making it directly applicable to 3D reconstruction tasks. At its core, Voyager integrates a world-consistent video diffusion model with an efficient long-range world exploration engine powered by auto-regressive inference. To support training, the team built a scalable data engine that automatically curates large video datasets with camera pose estimation and metric depth prediction. ...
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