deepsearch.mycelebs.com
Research movies and television through DeepSearch's searchable title, cast, production, and viewing information.
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basarat.gitbook.io
TypeScript Deep Dive is a storage, design, or frontend resource for mockups, assets, UI tools, or web search.
onlinelibrary.london.ac.uk
A library support page explaining the invisible web, also called the deep web or hidden web. It states that search engines cover about 16% of the internet and advises against relying on them alone, especially for academic information. It lists content search engines cannot find, such as dynamically changing content, password protected resources and sites requiring registration, and suggests web directories and asking a librarian.
darpa.mil
DARPA Memex is a program seeking to develop next-generation search technologies for discovering, organizing and presenting domain-specific content. It aims to extend search beyond a centralized model to the deep web and nontraditional content. The program initially plans to address fighting human trafficking. It is specifically not interested in deanonymizing servers, attributing identity to IP addresses, or accessing non-public information.
science.gov
Explains federated searching across government science databases often described as the deep web.
huggingface.co
Multi-agent Deep-research System is a Hugging Face Space created by Agents-MCP-Hackathon. The system uses AI agents to perform web searches and analyze information, generating detailed research reports in response to user-provided research questions. Users must supply API keys for web search functionality. The space is currently running.
oedb.org
Guide to search tools and databases that surface information outside conventional web indexes.
phindai.org
Phind is an AI-powered search engine built specifically for developers. It delivers instant coding answers, debugging support, and real-time solutions by combining live web search with deep code understanding, and no login is required to use it.
arxiv.org
This arXiv paper by Dirk Lewandowski and Philipp Mayr provides a critical review of Bergman's 2001 study on the Deep Web. It introduces the concept of the Academic Invisible Web, defined as databases and collections relevant to academia but not searchable by general-purpose internet search engines, and reviews approaches for indexing it. The authors question Bergman's size estimate and suggest collaboration.
arxiv.org
An arXiv paper on digging deeper into hidden web databases limited by the top-k output constraint. It presents the GetNext meta-algorithm, which retrieves the next ranked tuple through a restrictive interface without prior knowledge of the ranking function, and algorithms that generate and execute multiple reformulated queries. Theoretical analysis and experiments over synthetic and real-world databases are reported.
photoscissors.com
PhotoScissors is a background removal tool that uses deep neural networks to automatically eliminate image backgrounds. Users can replace removed backgrounds with transparent layers, solid colors, or custom background images. It supports JPG, PNG, and WebP files, with a maximum file size of 10MB and resolution of 4.2MP. The tool processes images with complex elements such as hair and transparent objects, and offers online and desktop versions with credit-based and one-time purchase pricing options.
suppr.wilddata.cn
AI literature search, document translation, and deep-research workspace for researchers.
github.com
Onyx is an open-source AI platform that connects to applications to index and surface knowledge, with self-hosted deployment options. It provides agentic RAG search, deep research reports, custom agents, web search, a secure sandbox for code execution, artifacts, and voice mode. It works with major LLMs.
worldwidescience.org
Federated search portal querying science databases and repositories across many countries.
cancerdata.org
CancerData is a website promoting free and open-source resource sharing for cancer care. It offers a collection of resources including a brain radiotherapy atlas and contouring instructions, and highlights a deep learning model for contouring guidelines for organs at risk in neuro-oncology.