Showing 5833 open source projects for "high"

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  • $300 Free Credits to Build on Google Cloud Icon
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  • 1
    Chat2DB

    Chat2DB

    AI-driven database tool and SQL client

    ...Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. ...
    Downloads: 6 This Week
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  • 2
    ROOT

    ROOT

    Analyzing, storing and visualizing big data, scientifically

    ROOT is a unified software package for the storage, processing, and analysis of scientific data: from its acquisition to the final visualization in the form of highly customizable, publication-ready plots. It is reliable, performant and well supported, easy to use and obtain, and strives to maximize the quantity and impact of scientific results obtained per unit cost, both of human effort and computing resources. ROOT provides a very efficient storage system for data models, that...
    Downloads: 6 This Week
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  • 3
    Tone.js

    Tone.js

    A Web Audio framework for making interactive music in the browser

    ...It has common DAW (digital audio workstation) features for those looking to schedule events and tinker with pre-built synths and effects. There’s also a great selection of high-performance building blocks for signal-processing programmers familiar with languages like Max/MSP. With Tone.js they can create their own synthesizers, effects, and complex control signals.
    Downloads: 6 This Week
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  • 4
    Traccar

    Traccar

    Traccar GPS Tracking System

    ...Traccar stands out among GPS tracking systems on the market by supporting a vast array of protocols and device models. Whether you prefer low-cost, no-name GPS trackers or high-end, quality brands, Traccar enables you to choose from a wide selection of vendors. Traccar offers a modern and comprehensive web interface that is optimized for both desktop and mobile devices. Additionally, we offer native mobile applications for both Android and iOS platforms. Moreover, we provide a suite of applications that can transform mobile devices into GPS trackers.
    Downloads: 10 This Week
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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  • 5
    VulkanSceneGraph

    VulkanSceneGraph

    Vulkan & C++17 based Scene Graph Project

    VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library.
    Downloads: 2 This Week
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  • 6
    Magnitude

    Magnitude

    Vision AI browser agent for automation, testing, and extraction

    ...Developers can use it to automate repetitive web tasks, integrate services without APIs, or build advanced browser-based agents. It also provides flexible abstraction levels, allowing both high-level task execution and precise low-level control of actions like mouse movements and keyboard input.
    Downloads: 0 This Week
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  • 7
    LingBot-World

    LingBot-World

    Advancing Open-source World Models

    LingBot-World is an open-source, high-fidelity world simulator designed to advance the state of world models through video generation. Built on top of Wan2.2, it enables realistic, dynamic environment simulation across diverse styles, including real-world, scientific, and stylized domains. LingBot-World supports long-term temporal consistency, maintaining coherent scenes and interactions over minute-level horizons.
    Downloads: 0 This Week
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  • 8
    WavTokenizer

    WavTokenizer

    SOTA discrete acoustic codec models with 40/75 tokens per second

    WavTokenizer is a state-of-the-art discrete acoustic codec designed specifically for audio language modeling, capable of compressing 24 kHz audio into just 40 or 75 tokens per second while preserving high perceptual quality. It is built to represent speech, music, and general audio with extremely low bitrate, making it ideal as a front-end for large audio language models like GPT-4o and similar architectures. The model uses a single-quantizer design together with temporal compression to achieve extreme compression without sacrificing reconstruction fidelity. ...
    Downloads: 0 This Week
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  • 9
    XLS

    XLS

    XLS: Accelerated HW Synthesis

    ...XLS also provides tooling for pipelining, state insertion, and formal equivalence checks between different stages, giving developers confidence as designs evolve. The result is a productive path from high-level specification to real hardware, without giving up control over latency, throughput, and area trade-offs.
    Downloads: 0 This Week
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    Ship Agents Faster

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  • 10
    HunyuanWorld 1.0

    HunyuanWorld 1.0

    Generating Immersive, Explorable, and Interactive 3D Worlds

    ...This approach enables 360° immersive experiences, seamless mesh export for graphics pipelines, and disentangled object representations for enhanced interactivity. The architecture integrates panoramic proxy generation, semantic layering, and hierarchical 3D reconstruction to produce high-quality scene-scale 3D worlds from both text and images. HunyuanWorld-1.0 surpasses existing open-source methods in visual quality and geometric consistency, demonstrated by superior scores in BRISQUE, NIQE, Q-Align, and CLIP metrics.
    Downloads: 0 This Week
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  • 11
    Apache Seata

    Apache Seata

    High-performance, open source distributed transaction solution

    Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and...
    Downloads: 0 This Week
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  • 12
    Netty

    Netty

    An event-driven asynchronous network application framework

    Netty is an asynchronous, event-driven networking framework for the JVM that simplifies building high-performance clients and servers. It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a foundation for RPC frameworks, proxies, and messaging systems. ...
    Downloads: 0 This Week
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  • 13
    Lapis

    Lapis

    A web framework for Lua and OpenResty written in MoonScript

    ...Utilizing the power of Lua coroutines, you can write clean code that looks synchronous but can achieve high throughput by automatically running asynchronously without blocking. Networking operations like database queries and HTTP requests will automatically yield to allow for handling concurrent requests, all without all that callback spaghetti seen in other asynchronous platforms.
    Downloads: 0 This Week
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  • 14
    PHP Client For NLP Cloud

    PHP Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models for NER

    NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. ...
    Downloads: 0 This Week
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  • 15
    PaddleNLP

    PaddleNLP

    Easy-to-use and powerful NLP library with Awesome model zoo

    PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities Taskflow And process-wide text area API: Support for the loading of rich Chinese data sets Dataset API, can flexibly and efficiently complete data pretreatment Data API, Preset 60 + pre-training word vector Embedding API, Providing 100 + pre-training model Transformer API Wait, the efficiency of NLP task modeling can be greatly improved.
    Downloads: 0 This Week
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  • 16
    Segmentation Models

    Segmentation Models

    Segmentation models with pretrained backbones. PyTorch

    Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines. All encoders have pretrained weights.
    Downloads: 0 This Week
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  • 17
    kube-score

    kube-score

    Kubernetes object analysis with recommendations

    ...For container probes, a readiness should be configured, and should not be identical to the liveness probe. Read more in README_PROBES.md. Container securityContext, run as a high number user/group, do not run as root or with privileged root fs. Read more in README_SECURITYCONTEXT.md. Stable APIs, use a stable API if available (supported: Deployments, StatefulSets, DaemonSet)
    Downloads: 0 This Week
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  • 18
    JuiceFS

    JuiceFS

    JuiceFS is a distributed POSIX file system built on top of Redis

    ...Purposely built to serve big data scenarios such as self-driving model training, recommendation engine, and Next-generation Gene Sequencing, JuiceFS specializes in high performance and easier management of tens of billion of files management. We bring JuiceFS to developers with the hope that it will be easy to use, reliable, high-performance, and solve all your file storage problems in a cloud environment.
    Downloads: 0 This Week
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  • 19
    Zotonic

    Zotonic

    The Erlang Web Framework & CMS

    Zotonic is the content management system and framework for semantic data and high-connectivity websites. Your data outlives your website. Grow your data and share your data. The Zotonic content management system excels in managing structured data from multiple sources. It brings structure to your documents and makes semantic data manageable for normal humans. Real-time connectivity is deeply integrated using the Internet of Things publish/subscribe protocol MQTT.
    Downloads: 0 This Week
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  • 20
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can continue to use the same ML frameworks you use today and migrate your software onto Inf1 instances with minimal code changes and without tie-in to vendor-specific solutions. ...
    Downloads: 15 This Week
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  • 21
    Foundatio

    Foundatio

    Pluggable foundation blocks for building distributed apps

    ...Wanted to build against abstract interfaces so that we could easily change implementations. Wanted the blocks to be dependency injection friendly. We were initially using an open-source Redis cache client but then it turned into a commercial product with high licensing costs. Not only that but there weren't any in-memory implementations so every developer was required to set up and configure Redis. We initially looked at NServiceBus (a great product) but it had high licensing costs (they have to eat too) and was not OSS friendly.
    Downloads: 0 This Week
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  • 22
    Rubix ML

    Rubix ML

    A high-level machine learning and deep learning library for PHP

    Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot...
    Downloads: 0 This Week
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  • 23
    Fyrox

    Fyrox

    3D and 2D game engine written in Rust

    High-quality binaural sound with Head-Related Transfer Function (HRTF) support. Standalone scene editor makes scenes in native engine format using the power of rusty editor. Rigid bodies, rich set of various colliders, joints, ray casting, etc.
    Downloads: 0 This Week
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  • 24
    TensorFlow Serving

    TensorFlow Serving

    Serving system for machine learning models

    TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking models after training and managing their lifetimes, providing clients with versioned access via a high-performance, reference-counted lookup table. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data. ...
    Downloads: 0 This Week
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  • 25
    Swoole

    Swoole

    Coroutine-based concurrency library for PHP

    Build high-performance, scalable, concurrent TCP, UDP, Unix Socket, HTTP, WebSocket services with PHP and easy to use coroutine, fiber API. Write your next scalable async application server with PHP coroutine and PHP fiber API. Compared with other async programming frameworks or softwares such as Nginx, Tornado, Node.js, Swoole has the built-in PHP coroutine, fiber and async support, multiple threads I/O modules.
    Downloads: 15 This Week
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