Search Results for "research" - Page 2
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Showing 15058 open source projects for "research"
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Marin
Framework for research and development of foundation models
...The framework is primarily used for large language models but has also supported audio-text, DNA, and protein modeling research. Experiments are expressed as dependent steps that execute in topological order, enabling reproducible training workflows. Marin also provides model checkpoints, training recipes, scaling research, documentation, and reusable infrastructure for large-scale experiments. -
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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. ... -
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FaceFusion
Industry leading face manipulation platform
...FaceFusion is built with a modular pipeline that allows users to customize processing steps and optimize performance for different hardware environments. The tool is often used in content creation, visual effects experimentation, and research into generative media. Overall, FaceFusion functions as a flexible and extensible platform for AI-driven face replacement and enhancement tasks. -
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SGR Agent Core
Schema-Guided Reasoning (SGR) has agentic system design
...The framework includes a BaseAgent interface and a two-phase architecture that separates reasoning planning from execution, allowing developers to implement custom agent behaviors and research pipelines. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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GPT Researcher
LLM based autonomous agent that does online comprehensive research
Say Hello to GPT Researcher, your AI agent for rapid insights and comprehensive research. GPT Researcher is the leading autonomous agent that takes care of everything from accurate source gathering to organization of research results. -
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NotebookLM for Windows
Native Windows desktop app for Google NotebookLM
NotebookLM for Windows is an unofficial Electron desktop client that turns Google NotebookLM into a more integrated research workspace. Despite its name, current builds support Windows, macOS, and Linux. The application preserves a persistent Google login while adding native window controls, system tray access, startup options, and desktop notifications. Ghost Mode adjusts window transparency so users can reference material underneath without repeatedly switching applications. ... -
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Open Notebook
An Open Source implementation of Notebook LM with more flexibility
...It combines full-text and vector search with context-aware AI chat to deliver insights grounded in your own research materials. With advanced features like multi-speaker podcast generation, customizable content transformations, and a comprehensive REST API, Open Notebook provides a powerful and extensible research environment. -
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MedgeClaw
Open-source AI research assistant for biomedicine
MedgeClaw is a specialized AI-powered research assistant tailored for biomedical and scientific workflows, built on top of OpenClaw and Claude Code architectures. It integrates a large library of domain-specific skills, enabling it to perform complex analyses in areas such as genomics, drug discovery, and clinical research. The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend executes analyses using tools like R and Python. ... -
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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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OpenBB Terminal
Investment research for everyone, anywhere
Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. ... -
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MobileHackersWeapons
Collection of cool tools used by Mobile hackers
...The repository is intended as a discovery reference for authorized mobile-security testing and research. -
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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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DeerFlow
Deep Research framework, combining language models with tools
DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. -
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InsightFace
State-of-the-art 2D and 3D Face Analysis Project
...InsightFace efficiently implements a wide variety of state-of-the-art algorithms for face recognition, face detection, and face alignment, which are optimized for both training and deployment. Research institutes and industrial organizations can get benefits from InsightFace library. -
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OSIRIS
Open Source Global Intelligence Platform
OSIRIS is an open-source global intelligence platform for real-time situational awareness across multiple data domains. It is designed as a web dashboard that brings together aviation, maritime, CCTV, seismic, fire, weather, space, news, and cyber-related data into one interface. The project uses modern web technologies to render large numbers of entities visually and interactively on maps and dashboards. It positions itself as a transparent alternative to closed intelligence platforms by... -
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Heretic
Fully automatic censorship removal for language models
...The project can decensor many popular dense and some mixture-of-experts (MoE) models, supporting workflows that would otherwise require manual tuning. Beyond simple decensoring, Heretic includes research-oriented options for analyzing model internals and interpretability data. -
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CRM
An open-source, agentic-first CRM
...Email threads, meetings, signature blocks, optional web research, and enrichment services can provide evidence. Durable sessions survive reloads and deployments, while a restricted sandbox prevents direct database access and network egress. The project is single-tenant and uses Google sign-in with an environment-based allow list. -
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AI Berkshire
AI-era Berkshire: a value investing research framework
AI Berkshire is an AI-assisted value investing research framework designed for Claude Code and Codex workflows. It turns the investment methods of Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu into structured research agents. The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. -
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The AI Scientist-v2
Workshop-Level Automated Scientific Discovery via Agentic Tree Search
AI-Scientist-v2 is an advanced autonomous research system designed to perform end-to-end scientific discovery using large language models and agent-based orchestration. The platform is capable of generating original research ideas, designing and executing experiments, analyzing and visualizing results, and producing full academic papers without direct human intervention. It introduces a generalized framework that removes reliance on predefined templates, enabling broader applicability across multiple machine learning domains and more open-ended exploration of research problems. ... -
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super-agent-party
All-in-one AI companion! Desktop girlfriend + virtual streamer
...Each agent may handle different responsibilities such as planning, execution, reasoning, or knowledge retrieval, allowing the system to tackle more complex problems than a single agent might handle alone. The platform is primarily intended as a research and demonstration environment for experimenting with agent collaboration strategies. Developers can use it to study coordination patterns, communication protocols, and task decomposition in multi-agent systems. -
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Growth Lab
An end-to-end growth tool that understands the product
...The project currently includes workflows for SEO page growth and Xiaohongshu content research, creation, compliance checks, and review. Product data and operational memory stay in the user's own workspace rather than a proprietary hosted format. -
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OpenSEO
Open source alternative to Semrush and Ahrefs
OpenSEO is an open-source search engine optimization platform positioned as a simpler alternative to large commercial SEO suites. It provides focused workflows for keyword research, rank tracking, competitor analysis, backlink research, site auditing, and AI visibility monitoring. A modern web interface keeps these tasks accessible without hiding them inside a large collection of unrelated reports. The platform exposes an MCP server so AI agents can work directly with SEO data and reusable agent skills. Users can run a hosted edition or self-host the application with Docker or Cloudflare. ... -
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Reco-papers
Classic papers and resources on recommendation
Reco-papers is a curated repository that collects influential research papers, technical resources, and industry materials related to recommender systems and recommendation algorithms. The project organizes a large body of literature into thematic sections such as classic recommender systems, exploration-exploitation strategies, deep learning–based recommendation models, and cold-start mitigation techniques. -
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FLUX.1
Official inference repo for FLUX.1 models
...This repo focuses on running the open-source model variants efficiently, providing scripts, model loading logic, and examples for local installations, and supports integration with Python toolchains like PyTorch and popular generative pipelines. Users can launch CLI tools to generate images, experiment with different FLUX variants, and extend the base code for research-oriented applications. -
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AERIS-10
Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
...The project likely implements algorithms for generating, analyzing, and visualizing chirp-based radar signals, enabling experimentation with time-frequency characteristics and signal reconstruction. It is designed to support research or educational use in radar engineering, particularly in understanding how modulated pulses interact with targets and noise. The repository structure suggests an emphasis on simulation rather than hardware integration, allowing users to test radar concepts in a controlled software environment. It likely includes tools for waveform synthesis, matched filtering, and spectral analysis, which are critical for interpreting radar returns.
