Search Results for "users" - Page 97
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Showing 37432 open source projects for "users"
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linux-wasm
WebAssembly (Wasm) arch support for the Linux kernel
...The system includes essential userland tools provided by BusyBox along with a lightweight libc implementation, making it possible to interact with a shell and execute basic commands in-browser. A terminal interface is implemented using web technologies, allowing users to experience a functioning Linux system through a standard web page. The project includes scripts to build and run the environment either locally, in containers, or directly in the browser, demonstrating flexibility in development workflows. -
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Bloom
An open source, agentic Loom alternative
Bloom is an open-source, agent-centric video recording and processing platform designed as a modern alternative to tools like Loom, but with a strong emphasis on AI-driven workflows and programmability. It allows users to record sessions locally while simultaneously preparing those recordings to be processed, indexed, and analyzed by AI systems, effectively turning simple screen captures into structured, queryable data. The project is part of the broader VideoDB ecosystem, which focuses on giving AI agents perception and memory through video, enabling them to understand and act upon visual information. ... -
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SimpleNES
An NES emulator in C++
SimpleNES is a lightweight, educational Nintendo Entertainment System emulator written in C++ that focuses on demonstrating the core architecture and behavior of classic console emulation. It replicates the essential components of the NES, including CPU execution, graphics rendering, and audio playback, allowing users to run original .nes ROM files on modern systems. The project supports a subset of cartridge mappers, which means it can successfully run a significant portion of early NES games while still being limited compared to full-featured emulators. Its implementation emphasizes clarity and modularity, making it especially useful for developers or students interested in understanding how emulation works at a low level. ... -
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
...The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. The notebooks also emphasize best practices in model training, evaluation, and deployment. ... -
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Rust Port
The Rust workspace under rust/ is the current systems-language port
Rust Port is an open-source reconstruction and experimentation framework derived from leaked or reverse-engineered versions of advanced AI coding agents, designed to replicate and extend the capabilities of agentic development systems. It functions as a programmable coding assistant that operates through autonomous workflows, enabling users to generate, modify, and analyze code with minimal manual intervention. The project emphasizes agent-based execution, where tasks are broken down into steps and handled iteratively, simulating how modern AI coding tools operate in production environments. It is often used as a sandbox for exploring how large-scale coding agents behave, including their decision-making processes, tool usage, and workflow orchestration. ... -
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Deep Research Web UI
AI-powered research assistant that performs iterative, deep research
...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. The platform emphasizes long-horizon reasoning, allowing users to explore topics in depth rather than receiving shallow, single-response answers. Built with modern web technologies such as Vue and TypeScript, it provides a responsive interface for managing research sessions, tracking intermediate steps, and reviewing collected data. The system supports integration with advanced models like DeepSeek R1, enabling more sophisticated reasoning and contextual understanding across multiple sources. -
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Toad
Unified terminal AI tool for exploring and editing codebases
...It allows developers to interact with AI models directly inside the command line, making it easier to explore, understand, and modify codebases without leaving the terminal. Built in Python, it focuses on transparency and control by letting users load context intentionally and inspect how the AI processes files. Toad supports structured conversations, enabling navigation through code with clear references instead of opaque outputs. Inspired by notebook-style workflows, it allows reuse of previous interactions and exporting of results. Toad is vendor-agnostic, meaning it can work with different AI agents while maintaining a consistent user experience. ... -
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Airweave CLI
The Airweave CLI for developers and AI agents
...It emphasizes developer productivity by offering clear commands, modular configurations, and seamless integration with existing development workflows. Airweave CLI also supports local testing and remote deployment, allowing users to validate behavior before scaling to production environments. -
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Kiln
Open source platform for managing, testing, and deploying AI apps
...It provides a unified environment for managing prompts, datasets, and evaluation workflows, allowing teams to iterate on AI behavior in a controlled and measurable way. Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. Kiln also supports systematic testing of AI systems by defining evaluation criteria and running experiments to assess performance over time. Its workflow-oriented approach helps teams move from experimentation to production by organizing assets and results in a consistent format. ... -
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Cloud Foundation Toolkit Project
The Cloud Foundation toolkit provides GCP best practices as code
...Because the included blueprints are described as production-ready and aligned with Google recommendations, the project is particularly useful for organizations establishing landing zones, repeatable environment patterns, and governed infrastructure workflows. The presence of a dedicated CLI also expands the project beyond static modules by giving users tooling support for authoring and operating blueprint-based infrastructure. -
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Gooo
Toolkit for developing web applications in Vue, Templ, and Go
...It is structured to allow developers to customize and extend its functionality depending on their needs, rather than acting as a fully packaged end-user application. The project emphasizes simplicity and flexibility, enabling users to integrate its components into scripts or larger systems. While not as feature-heavy as enterprise frameworks, it serves as a foundation for experimentation and rapid prototyping in data extraction or automation tasks. Its design reflects a developer-centric approach, prioritizing extensibility and ease of modification over polished interfaces. -
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Browser Agent
AI Browser Agent is an advanced Browser AI tool
Browser Agent Python is an AI-powered browser automation tool developed by Oxylabs that enables users to control web interactions through natural language instead of traditional scripting. The tool allows developers to describe tasks in plain English, such as navigating pages, clicking elements, filling forms, and extracting data, and the system executes those actions as if a human were interacting with the browser. It is designed to simplify complex automation workflows by removing the need for manually written selectors or step-by-step scripts. ... -
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Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
...Its content is organized into subject-specific documents that cover machine learning, deep learning, statistics, probability, Python, SQL and databases, and resume-based interview questions. That structure makes it practical for users who want to study by topic, strengthen weak areas, or simulate the range of questions they may encounter in interviews. -
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TTRL
Test-Time Reinforcement Learning
...This makes the framework especially interesting for scenarios where models must keep adapting during evaluation or deployment instead of relying only on fixed pretraining and static fine-tuning. The repository is implemented on top of the verl ecosystem, which allows users to enable TTRL as part of an existing reinforcement learning workflow rather than building a new stack from scratch. -
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Mantis
Automated framework for asset discovery and vulnerability scanning
...Mantis operates through a command line interface and accepts targets such as top level domains, IP addresses, or network ranges as input. From these inputs, it automatically discovers associated digital assets including subdomains and SSL certificates, allowing users to map the attack surface of a system. After discovery, the framework performs reconnaissance on active assets to gather technical information such as open ports, technologies, network details, and hosting infrastructure. Mantis then conducts security scans to identify vulnerabilities, exposed secrets, configuration weaknesses, and potentially malicious phishing domains. ... -
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PeterCat
A conversational Q&A agent configuration system
...The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. The framework also provides a configuration system that allows developers to customize how the conversational agent behaves and how it integrates with external services. ... -
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Situation Monitor
Real-time dashboard for monitoring global news and markets
Situation Monitor is an open-source real-time dashboard designed to aggregate and visualize global information streams related to news, financial markets, technology, and geopolitical developments. The project aims to provide a centralized situational awareness interface where users can observe multiple sources of high-signal information without constantly switching between separate applications or websites. Instead of functioning as a traditional news reader, the platform is designed more like an intelligence monitoring system that highlights important signals from diverse data feeds. The dashboard aggregates real-time updates about economic indicators, corporate developments, geopolitical events, and other macro-level signals that may influence markets or public discourse. ... -
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Cybersecurity AI
Cybersecurity AI (CAI), the framework for AI Security
...It is designed for real-world usability, aiming to reduce friction for teams experimenting with AI agents in security operations, assessment, and response contexts. The framework emphasizes extensibility so users can connect models, tools, and supporting components depending on their environment and constraints. -
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Happy-LLM
Large Language Model Principles and Practice Tutorial from Scratch
...It explains the Transformer architecture, pre-training paradigms, and model scaling strategies while also providing hands-on coding examples so readers can implement and experiment with their own models. The tutorial emphasizes practical understanding by walking users through building and training small language models, including tokenizer construction, pre-training workflows, and fine-tuning methods. -
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Cloudflare Agents
Build and deploy AI Agents on Cloudflare
...Developers can orchestrate complex behaviors using workflows and durable objects, making it suitable for production-grade autonomous systems. Overall, Cloudflare Agents aims to streamline the development of scalable AI automation that operates close to users for improved performance. -
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BettaFish
Public opinion analysis system
...It uses a modular architecture of specialized agents that collaborate to crawl mainstream platforms, extract multimodal content like text and short video, and synthesize insights through both statistical and large language model techniques. With a design that lets users pose questions in natural language and receive structured reports, charts, and visualizations, the system aims to break information cocoons and provide comprehensive views of trends and public sentiment. Unlike simpler analytics tools, BettaFish employs agent collaboration and a “forum” style internal mechanism to combine diverse model outputs, making the analysis richer and more robust. ... -
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refactoring.nvim
The Refactoring library based off the Refactoring book
refactoring.nvim is a Neovim plugin developed to bring powerful automated code refactoring capabilities to one of the most popular text editors among programmers, giving developers a suite of refactoring operations that streamline repetitive restructuring tasks inside the editor. Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. It integrates with built-in Neovim selection modes and can work with third-party tools like Telescope to present refactoring options quickly, enabling rapid transformation of code patterns. ... -
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Islands Dark
VSCode theme based off the easemate IDE and Jetbrains islands theme
...The theme pairs deeply dark canvas backgrounds with warm, balanced syntax highlighting for many popular languages, and integrates well with recommended fonts like IBM Plex Mono and FiraCode Nerd Font Mono to improve readability and overall UI harmony. Because it leverages extensions like Custom UI Style and requires some font setup, VSCode Dark Islands aims at users who want a tailored, distinctive editor environment rather than the standard static color scheme. -
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A.I.G
Full-stack AI Red Teaming platform
...It brings together AI infrastructure vulnerability scanning, MCP server risk analysis, and jailbreak evaluation into a unified workflow so that enterprises and individuals can identify critical security issues without relying on external services. Users can deploy it via Docker or scripts to get a modern web UI that guides them through tasks like scanning third-party frameworks for known CVEs and experimenting with prompt security against attack vectors. The tool provides both a visual interface and a comprehensive API, making integration with internal security systems or CI/CD pipelines practical for ongoing risk management. -
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SteadyDancer
Harmonized and Coherent Human Image Animation
...The system can be used both in preprocessing pipelines for content creators and in live feedback loops for performers, giving dancers and videographers a tool to refine their visual outputs. It supports integration with standard video formats and includes customizable parameters so users can tune stabilization aggressiveness.
