Search Results for "apostila-python" - Page 90

Showing 18294 open source projects for "apostila-python"

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  • 1
    OpenSwarm

    OpenSwarm

    Claude code for everything except coding

    OpenSwarm is an open-source multi-agent system that lets users create full deliverables from a single terminal prompt. Instead of relying on one general-purpose assistant, it coordinates a team of specialized agents through an orchestrator. The included agents can handle research, data analysis, slide decks, documents, images, videos, scheduling, messaging, and other productivity tasks. It is designed for outputs like pitch decks, market research, SEO content, quarterly reports, launch...
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  • 2
    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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  • 3
    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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  • 4
    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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  • 5
    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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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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  • 11
    LeWorldModel

    LeWorldModel

    Official code base for LeWorldModel: Stable End-to-End Joint-Embedding

    LeWorldModel is a minimalist tiling window manager designed for the X11 windowing system, focusing on simplicity, performance, and efficient use of screen space. It provides automatic window tiling behavior, organizing application windows into structured layouts without requiring manual resizing or positioning. The project emphasizes a lightweight design, minimizing resource usage while maintaining responsiveness and stability. It is highly configurable through source code or configuration...
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  • 12
    Liberapay

    Liberapay

    Source code of the recurrent donations platform Liberapay

    Liberapay is an open-source platform designed to facilitate recurring donations to creators, developers, and projects, with a strong emphasis on transparency, privacy, and sustainability. It operates as a nonprofit service that allows users to financially support individuals or teams on a weekly, monthly, or yearly basis without expecting rewards in return. The platform is particularly focused on funding open-source software, free knowledge, and creative work, helping contributors maintain...
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  • 13
    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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  • 14
    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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  • 15
    Book6_First-Course-in-Data-Science

    Book6_First-Course-in-Data-Science

    From Addition, Subtraction, Multiplication, and Division to ML

    Book6_First-Course-in-Data-Science is an open-source educational project that serves as part of the “Iris Book” series focused on teaching data science and machine learning concepts through a combination of mathematics, programming, and visualization. The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. The goal of the project is to make complex topics such as statistics, algorithms, and data analysis more accessible to learners by breaking concepts into clear explanations supported by code examples and diagrams. ...
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  • 16
    RL with PyTorch

    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...
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  • 17
    Data Science Articles from CodeCut

    Data Science Articles from CodeCut

    Collection of useful data science topics along with articles

    The Data-science repository from CodeCutTech is a curated collection of educational content focused on practical tools and workflows used in modern data science projects. Instead of providing a single software package, the repository aggregates articles, tutorials, and examples covering many topics within the data science ecosystem. The materials address areas such as MLOps, data management, project organization, testing practices, visualization techniques, and productivity tools used by...
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  • 18
    cracking-the-data-science-interview

    cracking-the-data-science-interview

    A Collection of Cheatsheets, Books, Questions, and Portfolio

    Cracking the Data Science Interview is an open educational repository that collects study materials, resources, and reference links for preparing for data science interviews. The project organizes content across many fundamental areas of data science, including statistics, probability, SQL, machine learning, and deep learning. It includes cheat sheets that summarize important technical concepts commonly discussed during technical interviews. The repository also provides links to recommended...
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  • 19
    mosaicml composer

    mosaicml composer

    Supercharge Your Model Training

    composer is a deep learning training framework built on PyTorch and designed to make large-scale model training more efficient, scalable, and customizable. At the center of the project is a highly optimized Trainer abstraction that simplifies the management of training loops, parallelization, metrics, logging, and data loading. The framework is intended for modern workloads that may span anything from a single GPU to very large distributed training environments, which makes it suitable for...
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  • 20
    ML-NLP

    ML-NLP

    This project is a common knowledge point and code implementation

    ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training...
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  • 21
    ML Retreat

    ML Retreat

    Machine Learning Journal for Intermediate to Advanced Topics

    ML Retreat is an open-source learning repository that serves as a structured journal documenting advanced topics in machine learning and artificial intelligence. The project compiles detailed notes, technical explanations, and curated resources that guide readers through complex concepts across modern AI research. Rather than functioning as a traditional tutorial series, the repository is organized as a learning journey that progressively explores increasingly advanced subjects. Topics...
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  • 22
    All-in-RAG

    All-in-RAG

    Big Model Application Development Practice 1

    All-in-RAG is an open-source educational project designed to teach developers how to build applications using retrieval-augmented generation techniques. The repository provides a structured learning path that covers both theoretical foundations and practical implementation steps for RAG systems. It explains the full development pipeline required to create knowledge-aware AI assistants, including data preparation, document indexing, vector embedding generation, and retrieval strategies. The...
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  • 23
    LLMSurvey

    LLMSurvey

    A Survey of Large Language Models

    LLMSurvey is an open-source research repository that aggregates academic papers, resources, and references related to large language models. The project is closely associated with the academic survey titled “A Survey of Large Language Models,” which provides a comprehensive overview of the development, architecture, capabilities, and societal implications of modern LLMs. The repository organizes hundreds of research papers into thematic sections that reflect the main areas of LLM research,...
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  • 24
    HackerRepo.org

    HackerRepo.org

    Collection of cybersecurity-related references, scripts, tools, code

    HackerRepo is a massive curated repository that aggregates thousands of cybersecurity, ethical hacking, and digital forensics resources into a single structured knowledge base. The project is designed as a companion learning hub for security professionals, penetration testers, and researchers who want organized access to tools, references, and training material. It spans both offensive and defensive security topics, including exploit development, threat hunting, reverse engineering, AI...
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  • 25
    AgenticSeek

    AgenticSeek

    Fully Local Manus AI. No APIs, No $200 monthly bills

    AgenticSeek is a fully local autonomous AI assistant designed as a privacy-focused alternative to cloud-based agent platforms. It runs entirely on the user’s hardware and can autonomously browse the web, write code, and plan multi-step tasks without sending data to external services. The system is optimized for local reasoning models and emphasizes zero cloud dependency to maintain full user control. AgenticSeek includes intelligent agent selection, allowing it to determine the best internal...
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