Search Results for "data collection algorithm" - Page 4
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582 projects for "data collection algorithm" with 1 filter applied:
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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LangChain
⚡ Building applications with LLMs through composability ⚡
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications. -
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ENScan Go
ENScan_GO is an enterprise information reconnaissance tool
ENScan_GO is an enterprise information reconnaissance tool focused on Chinese corporate data sources. It aggregates official and third-party APIs to pull records like ICP filings, affiliated/holding companies, apps, mini-programs, and WeChat official accounts, then exports merged results for analysis. The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. -
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Micrometer
App observability facade for the most popular observability tools
...Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications. -
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Claude Code Plugins Directory
Official, Anthropic-managed directory of high quality Claude Plugins
Claude Code Plugins Directory repository provides a collection of plugins intended to extend Claude’s capabilities by turning the model into a specialized assistant tailored to specific workflows, teams, or organizational needs. These plugins define how Claude should access tools, retrieve data, and execute structured tasks so that outputs become more consistent and production-ready. The project emphasizes customizable automation by allowing developers to encode preferred workflows, domain knowledge, and operational rules directly into plugin configurations. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Machine Learning Tutorials Repository
Dive deep into the realms of Machine Learning and other topics
The Machine Learning Tutorials Repository is a comprehensive collection of resources, examples, and implementations designed to help users understand and apply machine learning concepts. It covers a wide range of topics, including supervised learning, unsupervised learning, neural networks, and data preprocessing techniques. The project is structured to provide both theoretical explanations and practical code examples, making it suitable for learners at different levels. ... -
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Hacking with Swift
The project source code for Hacking with iOS
HackingWithSwift is an extensive open-source repository that accompanies a popular tutorial series focused on teaching Swift programming for iOS development. It contains a large collection of example projects, exercises, and complete applications that guide learners from beginner to advanced levels. The repository is structured into different learning tracks, including UIKit-based development and modern SwiftUI approaches, allowing developers to explore multiple paradigms within the Apple ecosystem. Each project is designed to reinforce specific concepts such as UI design, data handling, animations, and app architecture. ... -
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Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. -
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CS-Books
Collection of computer science textbooks, learning materials
CS-Books is a massive curated collection of computer science textbooks, learning materials, and resource links that covers a wide range of topics from programming languages like C/C++ and Python to core subjects such as data structures, algorithms, operating systems, databases, networks, and design patterns. The repository aggregates over a thousand classic reference books and educational resources into a single index, making it a valuable starting point for self-learners, students preparing for technical interviews, and professionals deepening their knowledge across different CS domains. ... -
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Rybbit
Open-source and privacy-friendly alternative to Google Analytics
Rybbit is an open-source, privacy-friendly web and product analytics platform positioned as a modern alternative to heavyweight tracking suites. It focuses on a clean UI and intuitive metrics so non-analysts can answer everyday questions without wading through dozens of reports. The data model is event-driven, enabling funnels, retention views, and simple user journeys without complex configuration. Because privacy is a first-class goal, it aims to minimize personal data collection and offers a self-host path so you can keep analytics in your own infrastructure. The project ships with a lightweight snippet and a Docker-based deployment, making it quick to trial or roll out. ... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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watercrawl
AI-ready web crawler that extracts and structures website content
...WaterCrawl supports customizable extraction rules so users can focus only on relevant elements while ignoring unnecessary page components. WaterCrawl also offers real-time monitoring capabilities, allowing users to track crawling progress, performance metrics, and errors during large data collection jobs. Developers can integrate the tool into applications through a REST API and multiple client SDKs, enabling automated data pipelines and AI data preparation workflows. -
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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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Sensu Go
Simple. Scalable. Multi-cloud monitoring
Sensu is an open source monitoring tool for ephemeral infrastructure and distributed applications. It is an agent-based monitoring system with built-in auto-discovery, making it very well-suited for cloud environments. Sensu uses service checks to monitor service health and collect telemetry data. It also has a number of well-defined APIs for configuration, external data input, and to provide access to Sensu's data. Sensu is extremely extensible and is commonly referred to as "the monitoring... -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at... -
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CS Fundamentals
Curated CS fundamentals for placement prep
CS-Fundamentals is a curated study repository for computer science placement and interview preparation. It gathers notes, PDFs, cheat sheets, question banks, and roadmaps across major CS subjects. The collection covers data structures and algorithms, computer networks, DBMS and SQL, object-oriented programming, operating systems, software engineering, and system design. It also includes general job-preparation material such as HR interview questions, LeetCode resources, cover letter material, off-campus hiring references, and AI prompts for interview practice. ... -
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Flowbite Svelte
Official Svelte components built for Flowbite and Tailwind CSS
Flowbite Svelte is an official UI component library that brings the Flowbite design system into the Svelte ecosystem, enabling developers to build modern web applications using reusable components powered by Tailwind CSS. The library provides a comprehensive collection of interactive elements such as modals, dropdowns, navigation bars, forms, and data display components, all implemented with Svelte’s reactive model rather than external JavaScript logic. Because Svelte compiles components into efficient JavaScript that directly manipulates the DOM, Flowbite Svelte benefits from high performance and minimal runtime overhead while still offering rich interactivity. ... -
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MedGemma
Collection of Gemma 3 variants that are trained for performance
...The multimodal versions pair a SigLIP-based image encoder pre-trained on diverse de-identified medical imaging data. -
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Sov.ai
A curated list of practical financial machine learning tools and apps
...Repository and link status information is updated automatically as the collection changes. It serves as a discovery index for researchers, students, and practitioners rather than an executable finance library. -
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Book3_Elements-of-Mathematics
From Addition, Subtraction, Multiplication, and Division to ML
Book3_Elements-of-Mathematics is an open learning resource in the Visualize-ML collection that introduces core mathematical foundations required for modern data science and AI. The repository presents topics such as algebra, calculus fundamentals, and mathematical reasoning using a highly visual and beginner-friendly approach. Its goal is to reduce the intimidation barrier often associated with formal mathematics by combining diagrams, structured explanations, and applied examples. ... -
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Google Maps SDK for iOS Utility Library
Google Maps SDK for iOS Utility Library
google-maps-ios-utils is a collection of open-source utilities that extend the functionality of the Google Maps SDK for iOS. It provides additional features such as clustering, heatmaps, and geometry utilities to enhance map-based applications. -
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Pathway AI Pipelines
Ready-to-run cloud templates for RAG
Pathway AI Pipelines is a collection of ready-to-deploy AI pipeline templates designed to help developers rapidly build production-grade retrieval-augmented generation and enterprise search applications. The project provides end-to-end examples that connect live data sources to LLM workflows, enabling applications to stay synchronized with continuously changing information. -
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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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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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Claude for Financial Services
Reference agents, skills, and data for the financial-services
Claude for Financial Services is an open-source collection of AI agents, plugins, and workflow templates designed to transform Claude into a specialized assistant for financial services professionals. The project targets domains such as investment banking, equity research, private equity, and wealth management by providing reusable prompts, structured workflows, and domain-specific analytical skills. -
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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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ESPnet
End-to-end speech processing toolkit
ESPnet is a comprehensive end-to-end speech processing toolkit covering a wide spectrum of tasks, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation (ST), speech enhancement, speaker diarization, and spoken language understanding. It uses PyTorch as its deep learning engine and adopts a Kaldi-style data processing pipeline for features, data formats, and experimental recipes. This combination allows researchers to leverage modern neural architectures while...