Search Results for "python-gtksourceview2" - Page 100

Showing 22950 open source projects for "python-gtksourceview2"

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  • 1
    AI-DLC

    AI-DLC

    AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI

    AI-DLC is an open-source workflow framework from AWS Labs designed to structure software development around AI-assisted engineering processes. The project promotes an “AI-Driven Life Cycle” methodology where coding assistants, IDE agents, and automation systems participate directly in planning, implementation, testing, and operational workflows. Rather than focusing on a single model or IDE, the framework provides reusable rules, templates, and orchestration patterns compatible with tools...
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  • 2
    Alpamayo 1

    Alpamayo 1

    Bridging Reasoning and Action Prediction

    Alpamayo 1 is a pre-trained reasoning model developed by NVIDIA to support research and development in autonomous driving systems. It combines perception, reasoning, and action prediction into a unified architecture, enabling it to interpret complex driving scenarios and generate trajectory plans. The model is designed as a foundational component rather than a complete driving stack, allowing developers to build custom autonomous vehicle applications on top of it. It incorporates...
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  • 3
    Claude Ads

    Claude Ads

    Comprehensive paid advertising audit & optimization skill

    Claude Ads is an AI-powered auditing and optimization tool designed to analyze paid advertising campaigns across multiple platforms using Claude Code. It processes user-provided data such as exports or screenshots and evaluates campaigns using hundreds of predefined checks. The system generates structured reports, identifies inefficiencies, and suggests optimization strategies based on industry benchmarks. It supports platforms like Google Ads, Meta Ads, TikTok, LinkedIn, and more, offering...
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  • 4
    LinuxPlay

    LinuxPlay

    An open-source, ultra-low-latency remote desktop for Linux hosts

    LinuxPlay is a multimedia playback project designed to provide a lightweight media player for Linux environments with support for common audio and video formats. It focuses on implementing playback functionality using FFmpeg and native Linux APIs to ensure efficient decoding and rendering. The project demonstrates how to build a media player from scratch, including handling audio-video synchronization and playback controls. It supports local file playback and may include streaming...
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    Cut Data Warehouse Costs by 54%

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  • 5
    Viral-Clips-Crew

    Viral-Clips-Crew

    Your CrewAI Powered Video Editing Assistant

    Viral-Clips-Crew is an AI-driven video processing pipeline designed to generate short-form, engaging clips from long-form video content automatically. It analyzes transcripts and video data to identify the most engaging or “viral” moments, reducing the need for manual editing. The system integrates tools like FFmpeg and AI models to handle segmentation, cropping, and formatting for vertical video platforms. It supports automation workflows that allow creators to produce multiple clips...
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  • 6
    SpotSeekBot

    SpotSeekBot

    spotify music downloader telegram bot (tracks, albums, playlists)

    SpotSeekBot is a Discord music bot designed to stream and control Spotify-based playback within voice channels. It allows users to search for tracks, play songs, and manage queues directly through chat commands. The bot integrates with Spotify APIs to retrieve track information and playlists while using external sources for actual audio playback. It supports common playback controls such as pause, skip, and seek, enabling interactive music sessions in real time. The system is designed to...
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  • 7
    GEO Content Writer

    GEO Content Writer

    Backlog-row-first content production system for teams

    GEO Content Writer is an AI-based content generation tool designed to create optimized content tailored for geographic and semantic search contexts. It focuses on producing articles, pages, and structured content that align with both traditional SEO requirements and emerging AI search patterns. The system leverages language models to generate content that is context-aware, location-specific, and optimized for discoverability. It supports automated workflows for generating large volumes of...
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  • 8
    QA-Pilot

    QA-Pilot

    QA-Pilot is an interactive chat project that leverages LLMs

    QA-Pilot is an interactive chat-based application designed to help users understand and navigate GitHub repositories using large language models. It enables users to clone repositories locally and then interact with them through a conversational interface, allowing for rapid exploration of codebases without manual searching. The system supports both local and cloud-based LLM providers, making it flexible for different environments and privacy requirements. It includes features such as chat...
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  • 9
    PAR LLAMA

    PAR LLAMA

    TUI for Ollama and other LLM providers

    PAR LLAMA is a terminal-based text user interface designed to simplify the management and interaction with large language models, particularly those served through Ollama, while also supporting a wide range of cloud providers. It is built using modern terminal UI frameworks, delivering a visually structured and interactive experience directly within the command line. The application allows users to chat with models, manage sessions, and organize conversations without needing a graphical...
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  • 10
    LLM Telegram Bot

    LLM Telegram Bot

    A Telegram bot for Large Language Models

    LLM Telegram Bot is a self-hosted Telegram chatbot that connects messaging interactions with large language models, typically powered by Ollama or similar backends. The project is designed to provide a customizable AI assistant that can operate within Telegram conversations, supporting dynamic responses based on user input and configurable parameters. It includes features such as conversation memory, allowing the bot to maintain context across multiple messages and provide more coherent...
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  • 11
    Cal.diy

    Cal.diy

    Scheduling infrastructure for absolutely everyone

    The Cal.diy project is a fully open-source, self-hosted scheduling platform that provides an alternative to proprietary booking tools while giving users complete control over their infrastructure. It is a community-driven fork of Cal.com that removes all enterprise and commercial features, ensuring that the entire codebase remains MIT-licensed and accessible. The platform enables users to manage bookings, availability, and integrations without relying on external services or subscription...
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  • 12
    ComfyUI-HunyuanVideoWrapper

    ComfyUI-HunyuanVideoWrapper

    ComfyUI wrapper nodes for HunyuanVideo

    The ComfyUI-HunyuanVideoWrapper project is a ComfyUI extension that integrates Hunyuan-based multimodal video generation models into node-based workflows. It allows users to generate or manipulate video content by combining text prompts with one or more input images, enabling flexible conditioning of outputs. The system introduces specialized nodes such as text-image encoders that allow multiple image inputs to be referenced directly within prompts. This makes it possible to guide generation...
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  • 13
    Polymarket Data

    Polymarket Data

    Polymarket Data Retriever that fetches, processes, and structures data

    Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades. It begins by fetching market metadata such as questions, outcomes, and...
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  • 14
    colleague-skill

    colleague-skill

    Transform a cold separation into a warm Skill

    colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely...
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  • 15
    Clawith

    Clawith

    OpenClaw for Teams

    Clawith is an AI-driven agent system focused on enabling intelligent task execution, coordination, and interaction across complex environments. It is designed to function as a control layer where agents can perform actions, manage workflows, and respond dynamically to changing conditions. The system likely emphasizes integration with external tools and services, allowing agents to extend their capabilities beyond internal reasoning. Its architecture suggests support for multi-agent...
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  • 16
    MetaClaw

    MetaClaw

    Just talk to your agent

    MetaClaw is an AI or agent-oriented system that appears to focus on advanced control, coordination, or training of autonomous agents, potentially within reinforcement learning or tool-using environments. The project likely emphasizes meta-level reasoning, where agents are not only executing tasks but also adapting their strategies based on feedback and performance signals. It may incorporate mechanisms for learning from interactions, improving decision-making over time, and generalizing...
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  • 17
    autoresearch-win-rtx

    autoresearch-win-rtx

    AI agents running research on single-GPU nanochat training

    autoresearch-win-rtx is a Windows-based implementation of the autoresearch framework designed to run autonomous AI research loops on consumer NVIDIA RTX GPUs. 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...
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  • 18
    autoresearch-mlx

    autoresearch-mlx

    Apple Silicon (MLX) port of Karpathy's autoresearch

    autoresearch-mlx is an Apple Silicon–optimized implementation of the autoresearch framework that enables autonomous AI research loops to run natively on MLX without requiring PyTorch or CUDA dependencies. It maintains the core autoresearch structure, where an AI agent iteratively edits a training script, executes experiments under a fixed time budget, and evaluates results based on a defined metric such as validation bits per byte. The system is tailored for Apple hardware, leveraging...
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  • 19
    CLI-Anything

    CLI-Anything

    Making ALL Software Agent-Native

    CLI-Anything is a framework designed to transform traditional software applications into agent-native command-line interfaces that can be directly controlled by AI systems. It is built on the idea that the command-line interface is the most universal, structured, and composable interface for both humans and AI agents, enabling deterministic and predictable execution of workflows. The system provides a methodology and tooling for generating CLI wrappers around existing applications, allowing...
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  • 20
    TurboQuant+

    TurboQuant+

    Implementation of TurboQuant (ICLR 2026)

    TurboQuant Plus is an extended and enhanced version of quantization tooling aimed at improving neural network efficiency through advanced compression and optimization strategies. It builds upon the concept of reducing model precision to accelerate inference while attempting to maintain or recover accuracy through refined techniques. The project explores additional enhancements such as improved calibration, adaptive quantization, and potentially hybrid precision approaches that combine...
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  • 21
    Cr3dOv3r

    Cr3dOv3r

    Know the dangers of credential reuse attacks

    Cr3dOv3r is a penetration testing and security auditing tool designed to demonstrate and analyze the risks associated with credential reuse across multiple online services. It allows users to input an email address and automatically checks for data breaches and leaked credentials using public databases. The tool then attempts to verify whether those credentials are reused across various popular platforms, highlighting potential vulnerabilities. It is primarily intended for educational and...
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  • 22
    Biomni

    Biomni

    Biomni: a general-purpose biomedical AI agent

    Biomni is a general-purpose biomedical AI agent designed to autonomously perform complex research tasks across a wide range of scientific domains, combining language model reasoning with structured planning and execution. It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming...
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  • 23
    OpenRecall

    OpenRecall

    OpenRecall is a fully open-source, privacy-first alternative

    OpenRecall is an open-source, privacy-first system designed to capture, index, and make searchable a user’s entire digital activity history, effectively acting as a personal memory layer for computing environments. It works by taking periodic screenshots of a user’s screen and applying local AI processing, including OCR and semantic analysis, to extract and structure information from both text and images. This data is then indexed into a searchable database, allowing users to retrieve past...
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  • 24
    SimpDL

    SimpDL

    A tool to scrape images from SimpCity

    SimpDL is an open-source media downloading tool designed to retrieve content from subscription-based or creator platforms, focusing on simplicity and ease of use. It enables users to download images, videos, and other media associated with specific creators or accounts, often through authenticated sessions. The project emphasizes a straightforward workflow where users provide login credentials or tokens, and the tool handles the retrieval and storage of content automatically. It is designed...
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  • 25
    NVIDIA Model Optimizer

    NVIDIA Model Optimizer

    A unified library of SOTA model optimization techniques

    Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying...
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