Search Results for "research" - Page 16
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Showing 15058 open source projects for "research"
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Wiretap
Wiretap is a transparent, VPN-like proxy server that tunnels traffic
...Its documentation describes an end-to-end encryption model where packets are forwarded through Wiretap nodes until they reach the intended server, which then sends traffic to the real network destination. Wiretap is useful for research, security labs, and controlled environments where users want WireGuard-style tunneling with proxy-like behavior. It is best understood as a specialized networking tool rather than a general consumer VPN client. -
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Pingtunnel
Pingtunnel is a tool that send TCP/UDP traffic over ICMP
Pingtunnel is a Go-based tunneling tool that sends TCP and UDP traffic over ICMP. It is designed for experimental, research, and network-study scenarios where ICMP transport is being explored as an alternative path for traffic forwarding. The project uses a client and server model, with the server typically requiring a publicly reachable host. It can carry application traffic through ICMP echo-style communication, which makes it distinct from common TCP, UDP, HTTP, or DNS tunnel tools. ... -
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PM Skills Marketplace
100+ agentic skills, commands, and plugins
PM Skills Marketplace is a repository designed to provide structured knowledge and guidance for product management skills, combining practical frameworks, templates, and conceptual explanations. It aims to help both aspiring and experienced product managers develop competencies across areas such as strategy, user research, prioritization, and execution. The project organizes information in a way that makes it easy to navigate different skill domains, offering actionable insights rather than purely theoretical descriptions. It emphasizes real-world application, helping users understand how to approach common product challenges and decision-making processes. ... -
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Newton
An open-source, GPU-accelerated physics simulation engine
...Newton supports OpenUSD for modern 3D scene representation and interoperability, making it suitable for complex simulation ecosystems. It is developed as a Linux Foundation project with contributions from major organizations like NVIDIA, Google DeepMind, and Disney Research, highlighting its relevance in cutting-edge robotics and AI development. -
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AliceVision
3D Computer Vision Framework
...It provides a complete pipeline for structure-from-motion (SfM), multi-view stereo (MVS), and mesh generation, allowing users to convert 2D imagery into accurate 3D models. The framework is built with a strong emphasis on research-grade algorithms while maintaining the robustness required for production environments, making it suitable for industries such as visual effects, cultural heritage preservation, and robotics. AliceVision is modular, enabling developers to use individual components or customize the pipeline for specific workflows, including panorama stitching and camera tracking. ... -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
RL with PyTorch is a research-oriented repository that provides implementations of deep reinforcement learning algorithms using the PyTorch framework. The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. ... -
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NitroGen
A Foundation Model for Generalist Gaming Agents
NitroGen is a foundation model for generalist gaming agents developed under the MineDojo initiative, aimed at training a vision-action AI that can play and interact with a wide variety of games by taking pixel inputs and predicting gamepad actions. As an open research model, NitroGen is trained on extensive gameplay data spanning thousands of hours and hundreds of games to instill broad, generalizable gaming competency rather than skill at a single title. This approach enables the model to control agents in different game genres and contexts, performing tasks that range from complex exploration and combat to fine-grained control in platformers, demonstrating adaptability across unseen environments. ... -
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Optax
Optax is a gradient processing and optimization library for JAX
Optax is a gradient processing and optimization library for JAX. It is designed to facilitate research by providing building blocks that can be recombined in custom ways in order to optimize parametric models such as, but not limited to, deep neural networks. We favor focusing on small composable building blocks that can be effectively combined into custom solutions. Others may build upon these basic components in more complicated abstractions. -
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AGI
The first distributed AGI system
AGI project is an experimental framework focused on building components and infrastructure for artificial general intelligence systems, emphasizing modularity, autonomy, and scalable intelligence pipelines. It aims to provide a foundation for creating agents that can reason, plan, and execute tasks across diverse domains by integrating multiple AI capabilities into a unified system. The project typically explores concepts such as agent orchestration, memory systems, task decomposition, and... -
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Supermemory
Memory engine and app that is extremely fast, scalable
...The platform allows individuals to ingest text, documents, and other content forms, then uses advanced retrieval and embedding techniques to index and relate information intelligently so that users can recall relevant knowledge in context rather than just by keyword match. It often incorporates clustering, semantic search, and summarization modules to reduce cognitive load and surface key ideas, which makes it useful for research, study, writing, and long-term project tracking. Users can interact with the system via conversational queries or traditional search interfaces, and the system leverages vector embeddings and memory scoring to prioritize the most relevant results. -
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reverse-skill
Reverse Engineering and Authorized Penetration Testing
reverse-skill is a cybersecurity skill router for AI coding agents working on authorized reverse engineering, penetration testing, CTF, and security research tasks. It analyzes the target type and directs the agent to an appropriate methodology instead of relying on improvised commands. Its playbooks cover Android and iOS applications, native binaries, .NET, JavaScript, firmware, malware, APIs, supply chains, and other specialized scenarios. The package checks locally available tools and can bootstrap supporting scripts, MCP servers, and utilities when needed. ... -
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Flix
Making an ESP32-based quadcopter from scratch
Flix is an open-source ESP32-based quadcopter project built from general-purpose components for education, research, and experimentation. Its firmware is written in Arduino-style C++ and intentionally kept compact so learners can understand the complete flight-control stack. Communication uses MAVLink over Wi-Fi or ESP-NOW. The drone can be controlled with a USB gamepad, radio controller, or smartphone. A wireless command-line interface supports configuration and analysis without a wired connection. ... -
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ViZDoom
Doom-based AI research platform for reinforcement learning
ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community. ... -
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RStudio
RStudio is an integrated development environment (IDE) for R
...The IDE is cross-platform: there are desktop versions for Windows, macOS and Linux, as well as a server version for remote or multi-user deployment via a web browser. In addition to code editing and execution, RStudio offers extensive support for reproducible research via R Markdown, notebooks, and integration with version control systems like Git and SVN. Package development is built in, with tooling for building, checking, and testing R packages, plus integration with documentation tools, CRAN submission workflows, and project templates. -
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JuMP
Modeling language for Mathematical Optimization
JuMP is a modeling language and collection of supporting packages for mathematical optimization in Julia. JuMP makes it easy to formulate and solve a range of problem classes, including linear programs, integer programs, conic programs, semidefinite programs, and constrained nonlinear programs. JuMP is used to solve large-scale inventory routing problems at Renault, schedule trains at Thales Inc., plan power grid expansion at PSR, and route school buses. -
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SAM 3D Body
Code for running inference with the SAM 3D Body Model 3DB
SAM 3D Body is a promptable model for single-image full-body 3D human mesh recovery, designed to estimate detailed human pose and shape from just one RGB image. It reconstructs the full body, including feet and hands, using the Momentum Human Rig (MHR), a parametric mesh representation that decouples skeletal structure from surface shape for more accurate and interpretable results. The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing,... -
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Raven
Self-evolving multi-agent ecosystem for all-domain collaboration
Raven is a pre-alpha multi-agent orchestration system that coordinates specialized agents through one persistent workspace. It ships with built-in agents for research, coding, visual design, and supervision of long-running jobs. Raven can also orchestrate third-party agents such as Claude Code, Codex, OpenCode, GitHub Copilot, Pi, and others. Its runtime is powered by EverOS, allowing user context, agent experience, and reusable knowledge to persist across sessions. The system can generate task graphs, delegate work, combine results, and evolve tools, skills, and workflows over time. ... -
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Python for OSINT
In this repository you will find sample code files for each day
...Topics progress from basic syntax and command-line tools to HTTP requests, APIs, JSON, CSV, databases, scraping, regular expressions, proxies, and file handling. Later lessons cover domain research, document generation, charts, maps, web archives, dates, and simple web applications. The course is designed for investigators and researchers rather than people seeking comprehensive software-engineering training. Exercises emphasize modifying working examples and applying them to practical research tasks. Current instructions recommend GitHub Codespaces or an Ubuntu-based environment for running the examples. -
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Codex-5.5-codex-instruct-5.5
Prompt-injection utility aimed at modifying how Codex CLI behaves
...Its documentation also points users toward a newer visual project with desktop UI, provider switching, session management, and packaged installers. Because the stated purpose is to bypass safety restrictions, it should be treated as unsafe prompt-bypass research material rather than a normal developer productivity tool. -
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Agent Executor (AX)
Google's open source distributed agent runtime
Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. -
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cuda-oxide
cuda-oxide is an experimental Rust-to-CUDA compiler
...It supports a single-source programming style where host and device code can live together and be built through Cargo-oriented tooling. cuda-oxide is still experimental, so it is best suited for research, early exploration, and developers interested in Rust-based GPU programming. Its main value is giving Rust developers a more direct path into NVIDIA GPU kernels while preserving familiar Rust syntax and tooling concepts. -
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MindZJ
An open-source, offline note-taking app with native AI & CLI
...The system provides tools for organizing thoughts, tracking relationships between concepts, and building a personal knowledge base. It is particularly useful for research, learning, and creative workflows where capturing and linking ideas is essential. The platform emphasizes simplicity and clarity, offering a clean interface that minimizes distractions while supporting complex knowledge structures. It also supports extensibility, allowing users to adapt the system to their specific needs and workflows. ... -
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How-To-Ask-Questions-The-Smart-Way
Correctly propose technical questions and get the answers you want
...It focuses on improving the quality of questions by emphasizing clarity, context, and effort before asking for assistance. The document explains common mistakes, such as vague descriptions or lack of research, and provides strategies for formulating precise and useful questions. It also highlights the importance of respecting the time and expertise of others, encouraging a culture of constructive collaboration. The guide is particularly valuable for beginners who are learning how to interact in open-source communities and forums. By improving communication, it increases the likelihood of receiving helpful and accurate responses. ... -
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redshirt
Operating system
...It includes components for task scheduling, device interaction, and system services, all implemented in a highly modular fashion. The project is still experimental but serves as a research platform for exploring how WebAssembly can be used as a foundation for operating systems. -
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TADA
Open Source Speech Language Model
...The project explores ways to treat speech and text as integrated data streams rather than separate pipelines, enabling more coherent interactions between language and audio. Because it operates as a generative framework, TADA can be used for research into advanced speech-language models and multimodal artificial intelligence systems.
