Search Results for "apostila-python" - Page 66

Showing 16348 open source projects for "apostila-python"

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  • 1
    Academic Research Skills for Claude Code

    Academic Research Skills for Claude Code

    Academic Research Skills for Claude Code

    Academic Research Skills is a structured learning repository aimed at improving users’ ability to conduct rigorous academic research, particularly in technical and scientific domains. It compiles methodologies, frameworks, and best practices for literature review, critical analysis, and research writing. The project is designed as a self-guided resource, helping learners understand how to evaluate sources, synthesize information, and develop strong arguments. It likely integrates examples,...
    Downloads: 2 This Week
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  • 2
    MOSS-TTS-Nano

    MOSS-TTS-Nano

    MOSS-TTS-Nano is an open-source multilingual tiny speech generation

    MOSS-TTS-Nano is a lightweight text-to-speech model designed for real-time voice generation in resource-constrained environments. It is part of the broader MOSS-TTS family and focuses on delivering high-quality speech synthesis with a compact architecture. The model operates efficiently on CPU-only systems, enabling deployment without specialized hardware. It supports multilingual voice cloning and produces high-fidelity audio with low latency. The system uses an autoregressive audio...
    Downloads: 2 This Week
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  • 3
    AutoAgent AI

    AutoAgent AI

    Autonomous harness engineering

    AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s...
    Downloads: 2 This Week
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  • 4
    VOID

    VOID

    Video Object and Interaction Deletion

    VOID is an advanced AI video processing system developed by Netflix that focuses on removing objects from videos while preserving the physical and visual realism of the surrounding environment. Unlike traditional inpainting methods that only erase pixels or simple artifacts, VOID models the full interaction dynamics between objects and their environment, including shadows, reflections, and even physical consequences such as movement or balance changes. Built on top of transformer-based...
    Downloads: 2 This Week
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    OpenSpace

    OpenSpace

    OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving

    OpenSpace is a self-evolving agent framework designed to improve the performance, efficiency, and collaboration of AI agents through continuous learning and shared knowledge. It introduces a system where agents develop reusable “skills” based on real task execution, allowing them to improve over time without retraining underlying models. The platform emphasizes collective intelligence, enabling multiple agents to share learned behaviors and benefit from each other’s experiences. It also...
    Downloads: 2 This Week
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  • 6
    mini SWE-agent

    mini SWE-agent

    The 100 line AI agent that solves GitHub issues

    mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. The agent operates by...
    Downloads: 2 This Week
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  • 7
    AG2

    AG2

    Framework for building and orchestrating multi-agent AI systems

    AG2 is an open source framework designed to support the creation and coordination of multiple AI agents working together to solve complex tasks. It provides abstractions that allow developers to define agents with distinct roles, responsibilities, and communication patterns, enabling collaborative problem-solving workflows. AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent...
    Downloads: 2 This Week
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  • 8
    Cognita

    Cognita

    Open source RAG framework for building scalable modular AI apps

    Cognita is an open source framework designed to help developers build, organize, and deploy Retrieval-Augmented Generation (RAG) applications in a structured and production-ready way. It addresses the gap between quick experimentation in notebooks and the complexity of deploying scalable AI systems by introducing a modular and API-driven architecture. Cognita provides reusable components such as parsers, data loaders, embedders, retrievers, and query controllers, allowing teams to customize...
    Downloads: 2 This Week
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  • 9
    Professional Services

    Professional Services

    Common solutions and tools developed by Google Cloud

    Professional Services repository is a collection of real-world solutions, tools, and reference implementations developed by Google Cloud’s Professional Services team to address common enterprise challenges. Unlike simple sample repositories, it focuses on production-oriented use cases such as data pipelines, machine learning workflows, infrastructure automation, and security management. The repository contains a wide variety of projects, including tools for validating data migrations,...
    Downloads: 2 This Week
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  • 10
    AI-Tutorials/Implementations Notebooks

    AI-Tutorials/Implementations Notebooks

    Codes/Notebooks for AI Projects

    AI-Tutorials/Implementations Notebooks repository is a comprehensive collection of artificial intelligence tutorials and implementation examples intended for developers, students, and researchers who want to learn by building practical AI projects. The repository contains numerous Jupyter notebooks and code samples that demonstrate modern techniques in machine learning, deep learning, data science, and large language model workflows. It includes implementations for a wide range of AI topics...
    Downloads: 2 This Week
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  • 11
    BoxMOT

    BoxMOT

    Pluggable SOTA multi-object tracking modules for segmentation

    BoxMOT is an open-source framework designed to provide modular implementations of state-of-the-art multi-object tracking algorithms for computer vision applications. The project focuses on the tracking-by-detection paradigm, where objects detected by vision models are continuously tracked across frames in a video sequence. It provides a pluggable architecture that allows developers to combine different object detectors with multiple tracking algorithms without modifying the core codebase....
    Downloads: 2 This Week
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  • 12
    HolmesGPT

    HolmesGPT

    CNCF Sandbox Project

    HolmesGPT is an open-source AI agent designed to help DevOps and site reliability engineering teams diagnose and resolve production incidents. The system aggregates signals from observability tools such as logs, metrics, alerts, and distributed traces, then analyzes them using large language models to identify potential root causes. Rather than requiring engineers to manually correlate large volumes of monitoring data, HolmesGPT automatically synthesizes evidence and presents explanations in...
    Downloads: 2 This Week
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  • 13
    prek

    prek

    Better `pre-commit`, re-engineered in Rust

    prek is a Rust-based reimagining of the popular pre-commit framework that runs git hooks to enforce code quality, style, and other repository checks, designed to be a faster, dependency-free, and drop-in alternative to the Python-centric original. By rewriting everything in Rust, prek delivers substantial performance gains and reduces disk usage while maintaining compatibility with existing .pre-commit-config.yaml setups, letting teams switch over without rewriting configurations. It’s optimized for modern workflows, supporting monorepos with workspace modes, parallel hook installation and execution, and native handling of common hook tasks without external runtimes. ...
    Downloads: 2 This Week
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  • 14
    Trellis AI

    Trellis AI

    All-in-one AI framework & toolkit for Claude Code & Cursor

    Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate...
    Downloads: 2 This Week
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  • 15
    TradingAgents

    TradingAgents

    Chinese Financial Trading Framework Based on Multi-Agent LLM

    TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a...
    Downloads: 2 This Week
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  • 16
    Agentic Data Scientist

    Agentic Data Scientist

    An end-to-end Data Scientist

    Agentic Data Scientist is an experimental AI-driven research framework that orchestrates data science workflows through autonomous agents that can reason, plan, and execute complex analytics tasks. Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data...
    Downloads: 2 This Week
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  • 17
    LongCat-Image

    LongCat-Image

    Foundation model for image generation

    LongCat-Image is an open-source foundation model for image generation and editing created by the LongCat team at Meituan, designed to deliver high-quality visual outputs while remaining efficient and accessible for developers and researchers. Rather than relying on massive parameter counts typical of many cutting-edge models, LongCat-Image achieves strong photorealism, stable structure, and accurate bilingual (Chinese and English) text rendering with a more compact ~6-billion parameter...
    Downloads: 2 This Week
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  • 18
    Wan Move

    Wan Move

    Motion-controllable Video Generation via Latent Trajectory Guidance

    Wan Move is an open-source research codebase for motion-controllable video generation that focuses on enabling fine-grained control of motion within generative video models. It is designed to guide the temporal evolution of visual content by leveraging latent trajectory guidance, allowing users to manipulate how objects move over time without modifying the underlying generative architecture. By representing motion information as dense point trajectories and integrating them into the latent...
    Downloads: 2 This Week
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  • 19
    Tally

    Tally

    Let agents classify your bank transactions

    Tally is an open-source, AI-assisted tool designed to automate the classification of personal financial transactions, helping users turn raw bank data into meaningful categories without manual tagging. At its core, Tally pairs a local rule engine with large language models so that an AI assistant (like Claude Code, Copilot, or any CLI agent) interprets, suggests, and categorizes expenses, savings, subscriptions, and income events based on your own rules and behavior. It generates...
    Downloads: 2 This Week
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  • 20
    PersonaPlex

    PersonaPlex

    PersonaPlex code

    PersonaPlex is an open-source real-time conversational speech AI model that goes beyond traditional text chat by providing full-duplex speech-to-speech interaction, meaning it can listen and talk at the same time instead of waiting for you to finish speaking before responding. This architectural approach eliminates awkward pauses and makes conversations feel much more human-like, with natural behaviors such as overlapping speech, interruptions, and fluent turn-taking, traits that traditional...
    Downloads: 2 This Week
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  • 21
    Cua

    Cua

    Open-source infrastructure for Computer-Use Agents. Sandboxes

    Cua is an open-source command-line utility and workflow orchestrator designed to help developers define, compose, and run common tasks with a unified interface, promoting consistency and reuse across projects. It introduces a declarative syntax for specifying build scripts, automation pipelines, environment setups, and project-specific commands so contributors don’t need to memorize disparate scripts or tooling across languages and ecosystems. Cua can also manage task dependencies, handle...
    Downloads: 2 This Week
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  • 22
    Anomalib

    Anomalib

    An anomaly detection library comprising state-of-the-art algorithms

    Anomalib is an open-source deep learning library focused on anomaly detection and localization tasks, collecting state-of-the-art algorithms and tools under one modular framework. It provides implementations of leading anomaly detection methods drawn from current research, as well as a full set of utilities for training, evaluating, benchmarking, and deploying these models on both public and private datasets. Anomalib emphasizes flexibility and reproducibility: you can use its simple APIs to...
    Downloads: 2 This Week
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  • 23
    INS

    INS

    Inspiration database for Internet practitioners with no ads

    INS is described as a kind of “inspiration database for internet workers” — a repository that collects and curates interesting websites, tools, links, or resources that might inspire developers, designers, or any knowledge workers. It aims to operate without ads, focusing purely on the content and resource quality, and leverages automation (e.g. GitHub Actions) to check link validity or site load speed, ensuring that listed resources remain accessible over time. For people in tech who...
    Downloads: 2 This Week
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  • 24
    ML for Beginners

    ML for Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The...
    Downloads: 2 This Week
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  • 25
    CMSS13

    CMSS13

    Contains the code for CM-SS13

    cmss13 is an open source fork of Space Station 13 that adapts the game into a Colonial Marines-inspired setting. Developed and maintained by the cmss13 community, it emphasizes tactical combat, military roleplay, and survival against xenomorph threats. The repository includes the complete source code, sprites, maps, and configuration files needed to run servers or contribute to development. Compared to traditional SS13 forks, cmss13 introduces unique mechanics such as marine squads, advanced...
    Downloads: 2 This Week
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