Search Results for "index data" - Page 3
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Showing 343 open source projects for "index data"
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Anomaly Detection Learning Resources
Anomaly detection related books, papers, videos, and toolboxes
Anomaly Detection Learning Resources is a curated open-source repository that collects educational materials, tools, and academic references related to anomaly detection and outlier analysis in data science. The project serves as a centralized index for researchers and practitioners who want to explore algorithms, datasets, and publications associated with detecting unusual patterns in data. The repository organizes resources into structured categories such as books, tutorials, academic papers, datasets, benchmark frameworks, and open-source toolkits. ... -
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nb-clean
Clean Jupyter notebooks of outputs, metadata, and empty cells
nb-clean cleans Jupyter notebooks of cell execution counts, metadata, outputs, and (optionally) empty cells, preparing them for committing to version control. It provides both a Git filter and pre-commit hook to automatically clean notebooks before they're staged, and can also be used with other version control systems, as a command line tool, and as a Python library. It can determine if a notebook is clean or not, which can be used as a check in your continuous integration pipelines.... -
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Minimal Mistakes Jekyll theme
Jekyll theme for building a personal site, blog, project documentation
A flexible two-column Jekyll theme. Perfect for building personal sites, blogs, and portfolios. Everything from the menus, sidebars, comments, and more can be configured or set with YAML Front Matter. Built with HTML5 + CSS3. All layouts are fully responsive with helpers to augment your content. Free to use however you want under the MIT License. Clone it, fork it, customize it, etc. Settings that affect your entire site can be changed in Jekyll’s configuration file: _config.yml, found in... -
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Vearch
A distributed system for embedding-based vector retrieval
Vearch is the vector search infrastructure for deep learning and AI applications. Vearch is a distributed vector storage and retrieval system which can be easily extended to billions scale. Vearch implements a high-performance, lockless real-time vector indexing subsystem that utilizes various optimization techniques to support millisecond vector update and retrieval. End-to-end one-click deployment. Through the module of the plugin, a complete default visual search system can be deployed... -
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Searchkick
Intelligent search made easy
Searchkick brings powerful, production-ready search to Rails by mapping Active Record models into Elasticsearch with sensible defaults and easy customization. It supports language analyzers, stemming, synonyms, misspelling tolerance, and highlighting so search results feel natural to end users. Indexing is model-centric: you declare what fields to index, add computed fields, and trigger reindexing via callbacks or background jobs, with options for zero-downtime rolling reindexes. On the... -
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Discord.SortedSet
Elixir SortedSet backed by a Rust-based NIF
SortedSet NIF is a performant and reliable sorted set data structure for Elixir, implemented in Rust using the Rustler crate to take advantage of native performance while maintaining seamless integration with the BEAM ecosystem. It provides ordering and uniqueness guarantees, with all terms stored according to Elixir’s built-in sorting rules. Internally, it uses a vector of vectors layout rather than a single vector to minimize costly reallocations, allowing efficient bucket pointer copying... -
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OpenArchiver
An open-source platform for legally compliant email archiving
OpenArchiver is a comprehensive, self-hosted email archiving and compliance platform built to help organizations ingest, index, store, and search email communication data across diverse sources like Gmail, Microsoft 365, IMAP, PST, and more. It’s designed for scenarios where reliable, tamper-proof archiving and full-text search across both emails and attachments are essential for legal discovery, compliance, or long-term records retention. The platform combines a modern web UI with powerful backend services, including fast indexing, deduplication, encryption at rest, and asynchronous ingestion workflows, making it suitable for both small teams and enterprise deployments. ... -
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Pix
Image management application
Pix is an image management application with image viewing, browsing, organizing and editing capabilities. It is part of the X-Apps project, which aims at producing cross-distribution and cross-desktop software. Pix supports numerous image types including: BMP, JPEG, GIF, PNG, TIFF, TGA, ICO and XPM; with optional support for RAW and HDR (high dynamic range) images. It is also able to view EXIF data attached to JPEG images. Pix has its own set of image editing tools that enable you to... -
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OpenRecall
OpenRecall is a fully open-source, privacy-first alternative
...This data is then indexed into a searchable database, allowing users to retrieve past information quickly using natural language queries. Unlike proprietary alternatives, OpenRecall operates entirely locally, ensuring that all captured data remains on the user’s device and is never transmitted to external servers. The platform supports multiple operating systems, including Windows, macOS, and Linux, making it widely accessible across different environments. -
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PaperQA2
High accuracy RAG for answering questions from scientific documents
PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection. In this example we take a folder of research paper PDFs, magically get their metadata - including citation counts and a retraction check, then parse and cache PDFs into a... -
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Quickwit
Sub-second search & analytics engine on cloud storage
...However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped the index data structures and made search stateless and sub-second on cloud storage. Quickwit is open-source under the GNU Affero General Public License Version 3 - AGPLv3. Fundamentally, this means you are free to use Quickwit for your project if you don't modify Quickwit. However, if you do and you are distributing your modified version to the public, you have to make the modifications public. -
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marqo
Tensor search for humans
A tensor-based search and analytics engine that seamlessly integrates with your applications, websites, and workflows. Marqo is a versatile and robust search and analytics engine that can be integrated into any website or application. Due to horizontal scalability, Marqo provides lightning-fast query times, even with millions of documents. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. It can seamlessly handle image-to-image, image-to-text and... -
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Scala 2
Scala 2 compiler and standard library
...You can use any version of Scala, or even alternate backends such as Dotty, Scala.js, Scala Native, and Typelevel Scala. You can use any published library. You can save and share Scala programs/builds with anybody. The Scala Library Index (or Scaladex) is a representation of a map of all published Scala libraries. With Scaladex, a developer can now query more than 175,000 releases of Scala libraries. Scaladex is officially supported by Scala Center. In Scala, functions are values, and can be defined as anonymous functions with a concise syntax. In Scala, case classes are used to represent structural data types. -
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Kernel Memory
Research project. A Memory solution for users, teams, and applications
...Applications can then query these indexed data sources to retrieve relevant information and include it as context for AI responses. -
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TONL
TONL (Token-Optimized Notation Language)
TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it... -
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Engram
A New Axis of Sparsity for Large Language Models
Engram is a high-performance embedding and similarity search library focused on making retrieval-augmented workflows efficient, scalable, and easy to adopt by developers building search, recommendation, or semantic matching systems. It provides utilities to generate embeddings from text or other structured data, index them using efficient approximate nearest neighbor algorithms, and perform real-time similarity queries even on large corpora. Engineered with speed and memory efficiency in mind, Engram supports batched indexing, incremental updates, and custom distance metrics so developers can tailor search behaviors to their domain’s needs. ... -
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Reactive Search
Search UI components for React and Vue
...Bring them to ReactiveSearch. Styled components with rich theming and CSS class-injection support. Reactivesearch components can be ported to create native mobile UIs. Connect to an ES index hosted anywhere. Supports v2, v5 and v6. Components come with good query defaults, that can be customized with Elasticsearch query DSL. Go from scratch to creating a data-driven search app with our beginner-friendly quick start guide. We offer production support for ReactiveSearch. Work with us to bring your dream project to life. -
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Bootstrap Your Own Latent (BYOL)
Usable Implementation of "Bootstrap Your Own Latent" self-supervised
...This repository offers a module that one can easily wrap any image-based neural network (residual network, discriminator, policy network) to immediately start benefitting from unlabelled image data. There is now new evidence that batch normalization is key to making this technique work well. A new paper has successfully replaced batch norm with group norm + weight standardization, refuting that batch statistics are needed for BYOL to work. Simply plugin your neural network, specifying (1) the image dimensions as well as (2) the name (or index) of the hidden layer, whose output is used as the latent representation used for self-supervised training. -
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type-fest
A collection of essential TypeScript types
type-fest is a TypeScript utility types library that offers a curated, battle-tested suite of type definitions and type transformations that aren’t included in the TypeScript standard library. It provides types like Except, Merge, LiteralUnion, Writable, Promisable, PartialDeep, JsonObject, and many others that solve everyday typing needs in complex TypeScript codebases. Developers pull in just the types they need, which makes code more expressive and safer without reinventing tricky type... -
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clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
clip-retrieval is an open-source toolkit designed to build large-scale semantic search systems for images and text by leveraging CLIP embeddings to enable multimodal retrieval. It allows developers to compute embeddings for both images and text efficiently and then index them for fast similarity search across massive datasets. The system is optimized for performance and scalability, capable of processing tens or even hundreds of millions of embeddings using GPU acceleration. It includes... -
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DeepSearcher
Open Source Deep Research Alternative to Reason and Search
DeepSearcher is an open-source “deep research” style system that combines retrieval with evaluation and reasoning to answer complex questions using private or enterprise data. It is designed around the idea that high-quality answers require more than top-k retrieval, so it orchestrates multi-step search, evidence collection, and synthesis into a comprehensive response. The project integrates with vector databases (including Milvus and related options) so organizations can index internal documents and query them with semantic retrieval. ... -
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elasticsearc-php
PHP low-level client for Elasticsearch
Introducing Elasticsearch DSL library to provide objective query builder for Elasticsearch bundle and elasticsearch-php client. You can easily build any Elasticsearch query and transform it to an array. This agnostic package is a lightweight wrapper on top of the Elasticsearch PHP client. Its main goal is to allow for easier structuring of queries and indices in your application. It does not want to hide or replace the functionality of the Elasticsearch PHP client. Feature complete, object... -
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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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The Hypersim Dataset
Photorealistic Synthetic Dataset for Holistic Indoor Scene
...The dataset spans diverse furniture layouts, room types, and camera trajectories, enabling robust training for geometry, segmentation, and SLAM-adjacent tasks. Rendering pipelines and utilities allow researchers to reproduce sequences, generate novel views, or extract task-specific supervision. Because the data are perfectly labeled and controllable, Hypersim is well suited for pretraining and for studying domain transfer to real imagery. The repository acts as both a dataset index and a set of scripts for downloading, managing, and evaluating on standardized splits. -
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Create Index from PDF
PDF Indexing Script: Searches PDF for words, records page numbers
This Python script helps automate the process of creating an index for a PDF document. It reads a list of words from a text file, searches through each page of the PDF, and records the page numbers where each word appears. The script accounts for the first 24 pages of the PDF that use Roman numerals (i-xxiv) and adjusts the page numbers accordingly. It is designed to be case-insensitive, ensuring that variations in capitalization do not affect the search results. As it processes the PDF, the...
