Search Results for "research"
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Showing 18941 open source projects for "research"
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Google Research
This repository contains code released by Google Research
Google Research is a massive monorepo that hosts a wide range of research code released by Google Research teams across machine learning, artificial intelligence, robotics, natural language processing, and other advanced domains. Rather than being a single framework, the repository serves as a centralized collection of experimental projects, reference implementations, and reproducible research artifacts. -
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Deep Research
Use any LLMs (Large Language Models) for Deep Research
Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. -
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Pfl Research
Simulation framework for accelerating research
A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives). -
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Local Deep Research
95% on SimpleQA (e.g. Qwen3.6-27B on a 3090)
Local Deep Research is an open-source AI-powered research assistant designed to perform deep, iterative investigations by combining large language models with multi-source search capabilities. It runs locally, giving users full control over their data, privacy, and infrastructure while supporting both local and cloud-based LLMs. The system breaks down complex queries into smaller steps, performs parallel searches across web and academic sources, and generates structured, citation-backed reports. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Open Deep Research
An AI-powered research assistant that performs iterative research
Deep Research is a lightweight AI research agent designed to autonomously investigate complex topics through iterative web exploration and reasoning. The project combines search engines, web scraping, and large language models to progressively refine its understanding of a user’s query and dive deeper over multiple cycles. Its core goal is to provide the simplest possible implementation of a deep research workflow so developers can study and extend agent behavior without dealing with large, opaque codebases. ... -
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Auto-Deep-Research
Your Fully-Automated Personal AI Assistant
Auto-Deep-Research is a system designed to fully automate deep research workflows using language models, retrieval, planning, and multi-stage reasoning to produce structured research artifacts such as surveys, benchmarks, reports, and even prototypes without heavy human intervention. Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction, metric evaluation, and structured writing. ... -
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Google Research: Language
Shared repository for open-sourced projects from the Google AI Lang
Google Research: Language is a shared repository maintained by Google Research that contains open-source projects developed by the Google AI Language team. The repository hosts multiple subprojects related to natural language processing, machine learning, and large-scale language understanding systems. Many of the projects included in the repository correspond to research papers released by Google researchers and provide implementations of new NLP algorithms or experimental frameworks. ... -
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Deep Research Web UI
AI-powered research assistant that performs iterative, deep research
Deep Research Web UI is an AI-powered research assistant interface designed to automate complex, multi-step information gathering workflows through a combination of search engines, web scraping, and large language models. It operates as a front-end system for deep research agents that iteratively refine queries, retrieve information from multiple sources, and synthesize structured outputs into coherent reports. -
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LangChain Open Deep Research
Fully open source deep research agent
Open Deep Research is a configurable, fully open-source agent for producing detailed research reports from complex questions. It separates work across models used for summarization, active research, information compression, and final report generation. Users can select from multiple language model providers as long as the chosen models support tool calling and structured outputs. -
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Meta Agents Research Environments (ARE)
Meta Agents Research Environments is a comprehensive platform
Meta Agents Research Environments (ARE) is a simulation and benchmarking platform. It is designed to evaluate AI agents in dynamic, evolving, multi-step tasks. Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. -
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Academic Research Skills for Claude Code
Academic Research Skills for Claude Code
Academic Research Skills is a structured learning repository aimed at improving users’ ability to conduct rigorous academic research, particularly in technical and scientific domains. It compiles methodologies, frameworks, and best practices for literature review, critical analysis, and research writing. The project is designed as a self-guided resource, helping learners understand how to evaluate sources, synthesize information, and develop strong arguments. ... -
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Awesome Fraud Detection Research Papers
A curated list of data mining papers about fraud detection
A curated list of data mining papers about fraud detection from several conferences. -
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usbliter8
An A12/A13 SecureROM exploit
...The project documents supported RP2350-based boards and includes build information for people compiling the firmware themselves. Overall, it is a specialized Apple platform security research project, not a general-purpose end-user utility. -
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YellowKey
YellowKey Bitlocker Bypass Vulnerability
YellowKey is a security research repository documenting a reported BitLocker bypass vulnerability affecting modern Windows recovery environments. The project is not a general-purpose application, but a proof-of-concept disclosure intended for vulnerability awareness, defensive research, and incident response discussion. It highlights how recovery tooling and boot-adjacent components can create serious risks even when full-disk encryption is enabled. -
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Dirty Frag
Universal Linux LPE
...It is primarily aimed at networking enthusiasts, security researchers, and developers experimenting with packet-level behavior and protocol edge cases. dirtyfrag emphasizes lightweight execution and direct control over fragmentation workflows rather than providing a full networking suite. The project can be useful for research into censorship circumvention, packet analysis, and protocol handling inconsistencies across different systems. Overall, dirtyfrag represents a specialized experimentation tool for advanced network traffic manipulation and analysis. -
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# Research Archive see README.md ## Overview This directory is the working archive for PXOS, analog/pixel-native computing, and related research initiatives. It currently holds more than 2,800 source notes, design briefs, and exploratory writeups created between successive project sprints. Content spans architecture proposals, roadmap experiments, ethics frameworks, technical deep dives, and supporting assets such as workspace settings and compressed bundles.
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Open Science
Open Science is an open-source, local-first, model-agnostic research
Open Science is an open-source, local-first AI research workbench built for scientific discovery on macOS, Windows, and Linux. Researchers can describe a task in plain language and let an agent inspect files, execute Python or R, search the web, and call scientific data connectors. The system is model-agnostic, allowing users to connect supported providers, compatible gateways, or subscription-based backends. -
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GenP
This repository preserves source materials and related documentation
GenP is an archival repository that preserves source materials, scripts, and documentation related to a tool historically associated with modifying proprietary software behavior. The project itself does not function as an actively maintained application but instead serves as a research-oriented collection intended for reverse engineering study and educational analysis. It explicitly positions itself as a reference resource, emphasizing that no support or guarantees are provided for compatibility with modern systems. The repository includes materials written in scripting languages such as AutoIt and PowerShell, reflecting its origins in automation and system-level interaction. ... -
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Feynman
The open source AI research agent
Feynman is a command-line AI research agent designed to automate complex research workflows by orchestrating multiple specialized agents that collaborate to gather, analyze, and synthesize information into structured outputs. It operates as a “Claude Code for research,” allowing users to input natural language queries and receive fully developed, source-grounded research briefs, literature reviews, or experimental analyses. -
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TikTok-ViewBot
ViewBot using requests updated 2025
...From a security research perspective, understanding these patterns helps both defenders and platform engineers improve abuse detection. For developers, the repo also serves as a cautionary example of how brittle unofficial integrations can be and why resilient, compliant APIs matter. -
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KDU
Kernel Driver Utility
KDU, or Kernel Driver Utility, is a Windows research tool for exploring kernel components without requiring a full local debugging setup. It uses known vulnerable third-party drivers as providers for privileged kernel access. The utility can inspect protected processes, modify certain process protections, access process memory, and examine Driver Signature Enforcement state. It also contains research functionality for mapping specially designed drivers into kernel memory. ... -
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AnyPS5
Tool for automatic PS5 executables porting to Linux and Windows
...SDL-compatible game controllers are supported, while keyboard and mouse mappings can be configured separately. The relinker uses C++20 and targets portability across host compilers where practical. AnyPS5 is intended for interoperability, preservation, and research using legally obtained software. -
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Odysseus
Self-hosted AI workspace from PewDiePie
Odysseus is a self-hosted AI workspace designed for running language-model workflows on user-controlled infrastructure. It provides an interface for chat, agents, tools, research, model serving, email, and other AI-assisted productivity tasks. The project emphasizes local-first and privacy-first operation, with no telemetry by default. It is built for users who want a personal AI environment rather than a fully hosted commercial assistant. Odysseus can work with local models while still leaving room for external API use when the user chooses. ... -
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Zotero
Tool to help you collect, organize, annotate, cite, and share research
Zotero is a powerful, free, open-source research management application designed to help students, academics, and professionals collect, organize, annotate, cite, and share research sources and materials for papers, projects, or books. It can save web pages, PDFs, books, articles, and more with metadata, automatically extract bibliographic information, and organize items into collections and tag systems, while supporting notes and annotations directly alongside references. ...
