Search Results for "java open source" - Page 63

80161 projects for "java open source" with 1 filter applied:

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    Cloud tools for web scraping and data extraction

    Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.

    Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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  • 1
    PaSa

    PaSa

    An advanced paper search agent powered by large language models

    PaSa is an open-source “paper search agent” built around large language models (LLMs), designed to automate the process of academic literature retrieval with human-like decision making. Instead of simply translating a query into keywords and returning a flat list of matching papers, PaSa uses a dual-agent architecture (Crawler + Selector) that can iteratively search, read, analyze, and filter academic publications — simulating how a researcher might dig through citation networks, expand references, and evaluate relevance based on both metadata and content. ...
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  • 2
    latexify

    latexify

    A library to generate LaTeX expression from Python code

    latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence...
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  • 3
    LangExtract

    LangExtract

    A Python library for extracting structured information

    LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and...
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  • 4
    ML Ferret

    ML Ferret

    Refer and Ground Anything Anywhere at Any Granularity

    Ferret is Apple’s end-to-end multimodal large language model designed specifically for flexible referring and grounding: it can understand references of any granularity (boxes, points, free-form regions) and then ground open-vocabulary descriptions back onto the image. The core idea is a hybrid region representation that mixes discrete coordinates with continuous visual features, so the model can fluidly handle “any-form” referring while maintaining precise spatial localization. The repo...
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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
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  • 5
    LLaMA Models

    LLaMA Models

    Utilities intended for use with Llama models

    This repository serves as the central hub for the Llama foundation model family, consolidating model cards, licenses and use policies, and utilities that support inference and fine-tuning across releases. It ties together other stack components (like safety tooling and developer SDKs) and provides canonical references for model variants and their intended usage. The project’s issues and releases reflect an actively used coordination point for the ecosystem, where guidance, utilities, and...
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  • 6
    Unikraft

    Unikraft

    A next-generation cloud native kernel designed to unlock performance

    ...Unikraft optimizes resource utilization, leading to smaller footprints (meaning higher server saturation) and improved efficiency in resource-constrained environments. Unikraft is an open-source project driven by a vibrant community of over 100 developers, fostering collaboration and innovation from industry and academia. Unikraft boasts a modular design approach, allowing developers to include only necessary components, resulting in leaner and more efficient operating-system configurations. Unikraft is fully modular, with a constantly growing ecosystem with many popular open-source operating systems and application libraries like musl and openssl available for use, allowing you to pick and choose exactly what you need for your target application.
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  • 7
    applied-ml

    applied-ml

    Papers & tech blogs by companies sharing their work on data science

    The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a...
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  • 8
    Generative AI

    Generative AI

    Sample code and notebooks for Generative AI on Google Cloud

    Generative AI is a comprehensive collection of code samples, notebooks, and demo applications designed to help developers build generative-AI workflows on the Vertex AI platform. It spans multiple modalities—text, image, audio, search (RAG/grounding) and more—showing how to integrate foundation models like the Gemini family into cloud projects. The README emphasises getting started with prompts, datasets, environments and sample apps, making it ideal for both experimentation and...
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  • 9
    File Nesting Config for VS Code

    File Nesting Config for VS Code

    Config of File Nesting for VS Code

    This project provides a curated configuration snippet for the file-nesting feature of Visual Studio Code, authored by Anthony Fu (antfu). The goal is to help developers organize large code-bases by collapsing “secondary” or generated files (for example build artifacts, tests, config variants) under their primary files in the Explorer tree. It supports VS Code version 1.67 and above by enabling the built-in "explorer.fileNesting" setting. It is somewhat opinionated, offering a broad list of...
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  • Smart Business Texting that Generates Pipeline Icon
    Smart Business Texting that Generates Pipeline

    Create and convert pipeline at scale through industry leading SMS campaigns, automation, and conversation management.

    TextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
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  • 10
    Internet Pi

    Internet Pi

    Raspberry Pi config for all things Internet

    ...The project supports additional modules like monitoring smart plugs (e.g., Shelly), monitoring air quality (via AirGradient sensors), or monitoring Starlink statistics. By combining open-source monitoring, visualization, and infrastructure automation, it gives you a “set-and-watch” home network observability stack.
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  • 11
    LLM Course

    LLM Course

    Course to get into Large Language Models (LLMs)

    LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. ...
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  • 12
    OSS-Fuzz Gen

    OSS-Fuzz Gen

    LLM powered fuzzing via OSS-Fuzz

    OSS-Fuzz-Gen is a companion project that helps automatically create or improve fuzz targets for open-source codebases, aiming to increase coverage in OSS-Fuzz with minimal maintainer effort. It analyses a library’s APIs, examples, and tests to propose harnesses that exercise parsers, decoders, or protocol handlers—precisely the code where fuzzing pays off. The system integrates with modern LLM-assisted workflows to draft harness code and then iterates based on build errors or low coverage signals. ...
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  • 13
    EPLB

    EPLB

    Expert Parallelism Load Balancer

    EPLB is DeepSeek’s open implementation of a load balancing algorithm designed for expert parallelism (EP) settings in MoE architectures. In EP, different “experts” are mapped to different GPUs or nodes, so load imbalance becomes a performance bottleneck if certain experts are invoked much more often. EPLB solves this by duplicating heavily used experts (redundancy) and then placing those duplicates across GPUs to even out computational load. It uses policies like hierarchical load balancing...
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  • 14
    OpenAI Realtime Embedded

    OpenAI Realtime Embedded

    Instructions on how to use the Realtime API on Microcontrollers

    openai-realtime-embedded is a repository that provides resources, SDKs, and example links for using OpenAI’s Realtime API on embedded hardware platforms (e.g. microcontrollers). The goal is to enable low-latency conversational agents (e.g. voice-based assistants) running directly on constrained devices, by leveraging WebRTC and streaming APIs to communicate with OpenAI systems. The repo includes pointers to an ESP32 implementation (maintained as esp32 branch) and documentation that Espressif...
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  • 15
    JavaScript Obfuscator

    JavaScript Obfuscator

    A powerful obfuscator for JavaScript and Node.js

    JavaScript Obfuscator is a Node.js library and CLI that transforms readable JavaScript into hardened, difficult-to-reverse code. It applies techniques such as identifier mangling, string array extraction/encoding, control-flow flattening, dead-code injection, and numeric literal transformations to disguise intent. Advanced options include self-defending code, domain locking, debug/console protection, and property key transformation, allowing you to tailor defenses to your threat model. The...
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  • 16
    docToolchain

    docToolchain

    AsciiDoc Toolchain for technical Software Documentation

    docToolchain is a toolkit built around the “docs as code” philosophy, designed to make writing, maintaining, and publishing technical documentation as smooth as software development itself. It provides a suite of scripts and integrations to generate documentation from AsciiDoc (and related formats), run automated checks, incorporate diagrams, and publish outputs in different formats (HTML, PDF, etc.). The framework encourages documentation and architecture artifacts to live alongside source...
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  • 17
    Superduper

    Superduper

    Superduper: Integrate AI models and machine learning workflows

    Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This...
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  • 18
    Laravel Valet

    Laravel Valet

    A more enjoyable local development experience for Mac

    Valet is a Laravel development environment for Mac minimalists. No Vagrant, no /etc/hosts file. You can even share your sites publicly using local tunnels. Yeah, we like it too. Laravel Valet configures your Mac to always run Nginx in the background when your machine starts. Then, using DnsMasq, Valet proxies all requests on the *.test domain to point to sites installed on your local machine. In other words, a blazing-fast Laravel development environment that uses roughly 7 MB of RAM. Valet...
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  • 19
    Crossplane Kubernetes

    Crossplane Kubernetes

    The Cloud Native Control Plane

    ...Crossplane has a highly extensible backend that enables you to orchestrate applications and infrastructure no matter where they run, and a highly configurable frontend that lets you define the declarative API it offers. Upbound built Crossplane to help organizations build their platforms like the cloud vendors build theirs—with control planes. Crossplane is an open source, CNCF project built on the foundation of Kubernetes to orchestrate anything. Encapsulate policies, permissions, and other guardrails behind a custom API line to enable your customers to self-service without needing to become an infrastructure expert. Crossplane is designed from the ground up with extension in mind. From Providers that extend Crossplane to orchestrate new kinds of applications and infrastructure, to Configurations that extend Crossplane to expose new APIs, our community will help you find what you need to build your ideal control plane.
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  • 20
    Android Developer Roadmap

    Android Developer Roadmap

    The Android Developer Roadmap offers comprehensive learning paths

    Android Developer Roadmap suggests learning paths to understanding Android development. The Android Developer Roadmap is designed to give you a comprehensive understanding of the current Android ecosystem and provides suggested learning paths along the way to help you grasp the concepts. Each node indicates concepts of Android systems, Android SDK, and generally used libraries. It would be helpful to refer to the Android Developers Reference or GitHub for the specific terminologies. In...
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  • 21
    jQuery Google Maps Store Locator Plugin

    jQuery Google Maps Store Locator Plugin

    A store locator plugin using Google Maps API version 3

    This jQuery plugin takes advantage of Google Maps API version 3 to create an easy to implement store locator. No back-end programming is required, you just need to feed it KML, XML, or JSON data with all the location information. How you create the data file is up to you. I originally created this for a company that didn’t have many locations, so I just used a static XML file. You will need to geocode your locations beforehand or use a geocoding API service if you want to try to do it on the...
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  • 22
    AppDevKit

    AppDevKit

    AppDevKit is an iOS development library

    ...AppDevKit has five major parts that include command, user interfaces, animations, image view, and list view support libraries. AppDevKit could be installed by CocoaPods. Please feel welcome to use AppDevKit in your iOS projects as it is licensed under the permissive open source BSD license.
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  • 23
    TrustKit

    TrustKit

    Easy SSL pinning validation and reporting for iOS, macOS, tvOS

    TrustKit is an open-source framework that makes it easy to deploy SSL public key pinning and reporting in any iOS 12+, macOS 10.13+, tvOS 12+ or watchOS 4+ App; it supports both Swift and Objective-C Apps. Simple API to configure an SSL pinning policy and enforce it within an App. The policy settings are heavily based on the HTTP Public Key Pinning specification.
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  • 24
    NVIDIA FLARE

    NVIDIA FLARE

    NVIDIA Federated Learning Application Runtime Environment

    NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated learning workloads from research and simulation to real-world production deployment.
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  • 25
    Open Crypto Tracker

    Open Crypto Tracker

    Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts

    100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets Supported (any on supported exchanges). ...
    Downloads: 18 This Week
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