Search Results for "data collection algorithm" - Page 12
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Showing 1563 open source projects for "data collection algorithm"
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Elide
Elide is a Java library that lets you stand up a GraphQL/JSON-API
...Define a JPA annotated model including relationships to other models using Java, Kotlin, Groovy, and other JVM languages. Control access to fields and entities through a declarative, intuitive permission syntax. Make instances of your new model accessible through a top level collection or restrict access only through relationships to other models. And thats it, you are ready to deploy and query your data with JSON or GraphQL requests. Quickly build and deploy production-quality web services that expose your data as a service. Elide APIs support complex filtering rules, sorting, pagination, subscriptions, and text search. ... -
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OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. ... -
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Browserbase Skills
Claude Agent SDK with a web browsing tool
Browserbase Skills is a collection of reusable automation “skills” designed to enable AI agents to interact with web environments programmatically. It provides structured workflows that abstract browser actions such as navigation, form filling, and data extraction into composable building blocks. The system is intended to simplify the development of browser-based agents by offering prebuilt capabilities that can be orchestrated together. -
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OpenVINO Notebooks
Jupyter notebook tutorials for OpenVINO
openvino_notebooks is a collection of interactive Jupyter notebooks designed to demonstrate how to build, optimize, and deploy artificial intelligence applications using the OpenVINO toolkit. The repository provides practical tutorials that guide developers through various AI workflows including computer vision, natural language processing, and generative AI tasks. -
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Milvus Bootcamp
Dealing with all unstructured data, such as reverse image search
Milvus Bootcamp is a collection of tutorials, examples, and best practices for using Milvus, an open-source vector database designed for AI-powered similarity search and retrieval applications. -
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Sonobuoy
Sonobuoy is a diagnostic tool to understand Kubernetes cluster
Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of plugins (including Kubernetes conformance tests) in an accessible and non-destructive manner. It is a customizable, extendable, and cluster-agnostic way to generate clear, informative reports about your cluster. -
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wagmi
React Hooks for Ethereum
wagmi is a collection of React Hooks containing everything you need to start working with Ethereum. wagmi makes it easy to "Connect Wallet," display ENS and balance information, sign messages, interact with contracts, and much more, all with caching, request deduplication, and persistence. We create a wagmi Client and pass it to the WagmiConfig React Context. The client is set up to use the ethers Default Provider and automatically connect to previously connected wallets. Next, we use the... -
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ReUI
Design-forward shadcn kit for interfaces that stand out
...The project includes over 1,000 reusable components organized across dozens of categories, along with custom in-house primitives such as data grids, kanban boards, and advanced filtering systems that are not part of the base shadcn/ui toolkit. Its copy-and-own philosophy eliminates dependency lock-in by allowing developers to directly copy component code into their own repositories, ensuring full control and customization. -
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Awesome Privacy
A curated list of privacy & security-focused software and services
Awesome Privacy is a curated directory of privacy-respecting alternatives to mainstream apps and services, organized across many categories like browsers, search, email, messaging, cloud storage, and operating systems. It aims to help you choose tools that reduce tracking, fingerprinting, and data collection without sacrificing usability. Each entry highlights the project’s core properties—such as open source status, end-to-end encryption, and platform availability—so you can evaluate trade-offs quickly. Because product landscapes change fast, the list emphasizes ongoing maintenance and community discussion around quality and trust. ... -
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Recovery for Xiaomi devices
A collection of current recoveries in one place
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Werkzeug
The comprehensive WSGI web application library
...Includes a full-featured request object with objects to interact with headers, query args, form data, files, and cookies. Includes a response object that can wrap other WSGI applications and handle streaming data. Includes a routing system for matching URLs to endpoints and generating URLs for endpoints, with an extensible system for capturing variables from URLs. Includes HTTP utilities to handle entity tags, cache control, dates, user agents, cookies, files, and more. -
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AI App Lab
Implementing large models into scenario-based applications
AI App Lab is an open-source platform developed by Volcengine that provides tools, SDKs, and example applications for building real-world AI applications powered by large language models. The project focuses on helping developers bridge the gap between AI models and practical business use cases by offering a structured environment for creating production-ready AI systems. It includes a high-level SDK called Arkitect, which provides workflows and tools for integrating models, plugins, and... -
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Python Code Tutorials
The Python Code Tutorials
Python Code Tutorials is a large educational repository that aggregates programming tutorials from the “The Python Code” website into a structured collection of Python projects and learning materials. The repository covers a wide range of programming topics including cybersecurity, networking, web scraping, machine learning, GUI development, and automation scripts. Each tutorial typically includes complete Python code examples and explanations that demonstrate how to build real tools and... -
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Vald
Vald. A Highly Scalable Distributed Vector Search Engine
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually, the graph requires locking during indexing, which causes stop-the-world. But Vald uses distributed index graphs so it continues to work during indexing. ... -
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core.match
An optimized pattern matching library for Clojure
core.match is a high-performance pattern-matching library for Clojure and ClojureScript. It provides an optimized macro-based DSL for structurally matching data—such as sequences, maps, regexes—offering a clearer alternative to nested conditionals or destructuring. A symbol pattern can represent one of three behaviours. Match the value of an existing local binding. Create a "named" wildcard pattern that creates a binding of the given name to the right of the pattern row. -
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Vearch
A distributed system for embedding-based vector retrieval
...Through the module of the plugin, a complete default visual search system can be deployed just with one click. Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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Kotest
Powerful, elegant and flexible test framework for Kotlin
Kotest is a flexible and comprehensive testing tool for Kotlin with multiplatform support. Powerful, elegant, and flexible test framework for Kotlin with additional assertions, property testing, and data-driven testing. The Kotest test framework enables tests to be laid out in a fluid way and execute them on JVM, Javascript, or native platforms. With built-in coroutine support at every level, the ability to use functions such as test lifecycle callbacks, extensive extension points, advanced conditional evaluation, powerful data-driven testing, and more. ... -
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UXF
Framework for creating human behaviour experiments in Unity
The Unity Experiment Framework (UXF) is an open-source package for the Unity3D game engine that can be used to assist the development of virtual reality human behavior experiments. Developed by Jack Brookes, Immersive Cognition Group, University of Leeds. Automates the process of collecting the variables you define within your task, and stores them simple CSV files. Time-series data such as the position and rotation of an object can be easily acquired and split into one file per trial.... -
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fugue
A unified interface for distributed computing
Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. -
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Darts
A python library for easy manipulation and forecasting of time series
darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to... -
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UNIT3D Community Edition
Private Torrent Tracker Built With Laravel, Livewire and AlpineJS
We have been developing a Private Torrent Tracker Software called UNIT3D. This is a PHP software based on Laravel 10, Livewire and AlpineJS. It is MySQL Strict Mode Compliant, and PHP 8.2 Ready. The code is well-designed and follows the PSR-2 coding style. It uses an MVC Architecture to ensure clarity between logic and presentation. As a hashing algorithm of Bcrypt or Argon2 is used, to ensure a safe and proper way to store the passwords for the users. A lightweight Blade Templating Engine.... -
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't... -
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Scientific Agent Skills
A set of ready to use Agent Skills for research, science, engineering
...Each skill provides curated documentation, examples, best practices, and integration guidance so agents can execute complex workflows more reliably. It is especially useful for researchers who need AI assistance with databases, Python libraries, literature review, data analysis, and scientific communication. The project also emphasizes extensibility, security review, and practical installation through npx or GitHub CLI.
