Search Results for "files" - Page 13
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Showing 2198 open source projects for "files"
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Mopidy
Mopidy is an extensible music server written in Python
Mopidy plays music from local disk, Spotify, SoundCloud, TuneIn, and more. You can edit the playlist from any phone, tablet, or computer using a variety of MPD and web clients. Vanilla Mopidy only plays music from files and radio streams. Through extensions, Mopidy can play music from cloud services like Spotify, SoundCloud, and TuneIn. With Mopidy's extension support, you can easily add backends for new music sources. Mopidy is a Python application that runs in a terminal or in the background on Linux computers or Macs that have network connectivity and audio output. ... -
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ContextGem
ContextGem: Effortless LLM extraction from documents
ContextGem is an open-source framework designed to simplify the extraction of structured data and insights from documents using large language models (LLMs). It provides a flexible, intuitive API that minimizes boilerplate code, enabling developers to build complex extraction workflows efficiently. ContextGem supports various document formats and integrates with multiple LLM providers, making it a versatile tool for tasks like contract analysis, anomaly detection, and information retrieval. -
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yami
An open-source music player with simple UI
Yami is a lightweight, open-source music player built in Python. It focuses on simplicity and ease of use, providing an intuitive user interface (UI) for users to manage and play their music. Whether you're playing local files or downloading from online sources using spotdl, Yami offers a seamless experience. This project is designed for users who want a minimalistic, cross-platform music player with the ability to integrate external sources like Spotify/YouTube Music. -
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RSS to Telegram Bot
A Telegram RSS bot that cares about your reading experience
A Telegram RSS bot that cares about your reading experience. -
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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easyquant
Stock quantification framework to support market acquisition
...Strategies inherit from a common template and receive events containing current market information and account access. The repository includes example strategies, custom engines, account configuration files, logging, timers, and testing material. -
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Dotbot
A tool that bootstraps your dotfiles
Dotbot is a lightweight tool for bootstrapping and installing dotfiles on new or existing machines. It helps users keep configuration files in version control while automatically linking them into the locations where applications expect to find them. The project is designed to be self-contained, dependency-light, and easy to run from a dotfiles repository. Its configuration can be written in YAML or JSON, making setups readable and repeatable. Dotbot can create folders, clean broken symbolic links, run shell commands, and manage file or folder links. ... -
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o1-engineer
o1-engineer is a command-line tool designed to assist developers
...It helps developers interact with projects through commands for code generation, file editing, project planning, and code review. The tool can add, edit, and manage both files and folders directly from the terminal. Its planning command can create structured project plans that can then guide systematic file and directory generation. It also keeps conversation history and allows users to save or reset context as needed. Overall, it is designed to make AI-assisted coding more interactive, project-aware, and practical from the command line. -
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DataProfiler
Extract schema, statistics and entities from datasets
...The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and more. Data Profiles can then be used in downstream applications or reports. -
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LlamaParse
Parse files for optimal RAG
LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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TorchAudio
Data manipulation and transformation for audio signal processing
The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the same philosophy of providing strong GPU acceleration, having a focus on trainable features through the autograd system, and having consistent style (tensor names and dimension names). Therefore, it is primarily a machine learning library and not a general signal processing library. The benefits of PyTorch can be seen in torchaudio through having all the computations be through PyTorch... -
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AudioMuse-AI
AudioMuse-AI is an Open Source Dockerized environment
AudioMuse-AI is an open-source system designed to automatically generate playlists and analyze music libraries using artificial intelligence and audio signal processing techniques. The platform runs locally in a Dockerized environment and performs detailed sonic analysis on audio files to understand characteristics such as tempo, mood, and acoustic similarity. By analyzing the underlying audio content rather than relying on external metadata services, the system can organize large personal music libraries and generate curated playlists for different moods or listening contexts. AudioMuse-AI integrates with several popular self-hosted music servers including Jellyfin, Navidrome, and Emby, allowing users to extend existing media servers with advanced AI-powered recommendation capabilities. ... -
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codex-keysmith
Version-independent Codex instruction deployment
Codex Keysmith is a zero-dependency Python utility for deploying versioned instruction files into Codex configuration directories. It updates the global model instruction setting so every new Codex session under that configuration loads the selected Markdown file. The tool previews changes by default and requires explicit confirmation before writing. It creates backups, isolates existing hooks, and records file ownership in a manifest for controlled recovery. -
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cloud-morph
Decentralize, Self-host Cloud Gaming/Application
cloud-morph is a cloud-based media processing service that enables real-time video and audio transformation using FFmpeg in scalable environments. It is designed to run as a backend service that processes media streams or files and applies transformations such as transcoding, filtering, and format conversion. The system supports API-driven workflows, allowing integration into web applications or automation pipelines. It leverages containerization and distributed architecture to handle workloads efficiently across multiple nodes. cloud-morph focuses on flexibility, enabling users to define custom processing pipelines for different media scenarios. ... -
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RenderCV
LaTeX CV generator from a YAML/JSON input file
RenderCV is a LaTeX CV/resume framework. It allows you to create a high-quality CV as a PDF from a YAML file with full Markdown syntax support and complete control over the LaTeX code. RenderCV offers built-in LaTeX and Markdown templates ready to produce high-quality CVs. However, the templates are entirely arbitrary and can easily be updated to leverage RenderCV's capabilities with your custom CV themes. -
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Qwen-Agent
Agent framework and applications built upon Qwen>=3.0
Qwen-Agent is a framework for building applications / agents using Qwen models (version 3.0+). It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time.... -
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Claude-Red
claude-red is a curated library of offensive security skills
Claude Red is a curated collection of offensive-security skill files for Claude's skill system. Each skill provides structured domain guidance for a specific area of authorized security testing or research. The library covers web applications, identity, Active Directory, wireless systems, cloud environments, mobile platforms, embedded devices, reconnaissance, exploit research, and fuzzing. Skills load on demand from conversational triggers instead of occupying context continuously. ... -
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Claude Overlay
A floating, screen-aware Claude Code chat for Windows
...It captures the active window or every monitor when a message is sent, letting Claude answer questions about visible documents, errors, dashboards, and applications. Because it runs the installed Claude Code CLI through the Agent SDK, it can also read files, execute commands, and edit open work when permissions allow. The interface streams responses, shows tool activity and context use, accepts pasted images, and provides an in-place model switcher. Conversations can resume after restarts or temporary CLI disconnections. Multiple named overlays can run at once and collapse into labeled draggable orbs. ... -
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MCP Agent Mail
Asynchronous coordination layer for AI coding agents
...Agents can send decisions, status updates, images, and attachments without relying on a human to relay context between parallel sessions. Advisory file reservations let an agent declare intended edits to files or patterns, reducing accidental overlap without enforcing rigid locks. Git stores human-auditable communication artifacts, while SQLite supports indexing, search, and operational queries. The HTTP-only FastMCP server works with clients such as Claude Code, Codex, Gemini CLI, and other MCP-compatible tools. Additional capabilities include acknowledgments, project directories, product-wide communication, build slots, deployment helpers, and integration with dependency-aware task tracking. -
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ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
...Each chapter has a notebook containing examples and exercises, along with a separate version that includes solutions. The repository also provides reusable thinkstats2 and thinkplot packages, homework material, workshops, and book-building files. Learners can use the notebooks in Google Colab or download the project for local work. -
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Python Discord Bot Template
A simple template to start to code your own and personalized Discord
Python Discord Bot Template is a starter repository for creating a personalized Discord bot with Python and discord.py. It is meant to help developers avoid the repetitive setup work involved in organizing files, cogs, environment variables, commands, and runtime structure. The project is in feature-freeze mode, meaning it receives bug fixes and compatibility updates rather than constant new functionality. It includes guidance for creating a Discord application, setting up a bot token, inviting the bot to servers, and running it locally. ... -
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DeepSpec
A full-stack codebase for training and evaluating speculative decoding
...The workflow starts with data preparation, including prompt download, target answer regeneration, and target cache construction. It then trains a draft model using configuration files for different algorithms and target model setups. The evaluation pipeline measures speculative decoding performance across benchmark tasks such as math, coding, instruction-following, and chat-style datasets. Overall, it is useful for researchers and engineers studying faster language model inference through speculative decoding methods. -
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autoresearch-win-rtx
AI agents running research on single-GPU nanochat training
...It adapts the original autoresearch concept to a Windows environment, enabling users to perform iterative machine learning optimization without requiring specialized Linux or data center setups. The system revolves around a small set of core files, including a training script that is continuously modified by an AI agent, along with supporting utilities for data preparation and evaluation. Experiments are executed within a fixed time budget, ensuring consistent benchmarking across iterations and allowing the agent to focus on incremental improvements. The framework is designed to be lightweight and accessible, making it suitable for developers and researchers working on desktop hardware. ... -
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LeWorldModel
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding
...The project emphasizes a lightweight design, minimizing resource usage while maintaining responsiveness and stability. It is highly configurable through source code or configuration files, allowing users to tailor behavior, keybindings, and layouts to their preferences. le-wm is intended for users who prefer keyboard-driven workflows and a distraction-free desktop environment. Its architecture avoids unnecessary complexity, making it easy to understand, modify, and extend. -
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NeMo Retriever Library
Document content and metadata extraction microservice
NeMo Retriever Library is a scalable microservice framework designed for extracting, structuring, and enriching content from documents to support downstream generative AI applications. It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient... -
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claude-code-best-practice
Practice made claude perfect
claude-code-best-practice is a structured knowledge repository that documents advanced workflows, architectural patterns, and optimization strategies for developers using Claude Code in agentic development environments. Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. The repository emphasizes modularity and progressive disclosure, encouraging developers to build reusable components that can be invoked on demand. It also explores operational concerns such as permissions management, sandboxing, debugging workflows, and context optimization. ...
