450 projects for "python tools" with 2 filters applied:

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  • 1
    Model Context Protocol (MCP)

    Model Context Protocol (MCP)

    Specification and documentation for the Model Context Protocol

    ...It gives developers a consistent way to expose tools, prompts, resources, and server capabilities to language models. Its broader ecosystem supports many languages, including TypeScript, Python, Java, Kotlin, C#, Go, PHP, Ruby, Rust, and Swift.
    Downloads: 2 This Week
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  • 2
    FastRTC

    FastRTC

    The python library for real-time communication

    FastRTC is a Python library designed to simplify real-time communication (RTC), especially for audio and video streaming applications. It abstracts away much of the complexity that typically comes with implementing WebRTC by providing a simple interface — e.g. a Stream class — that can be mounted within a web backend (for example a FastAPI application).
    Downloads: 5 This Week
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  • 3
    Strix

    Strix

    Open-source AI hackers to find and fix your app’s vulnerabilities

    Strix is an open source agent-driven security platform that uses autonomous AI agents to identify, investigate, and validate vulnerabilities in software applications. The system is designed to mimic the behavior of real attackers by executing dynamic testing and verifying findings through proof-of-concept exploitation. Unlike traditional vulnerability scanners that rely heavily on static analysis, Strix agents actively run code, probe systems, and attempt exploitation to confirm whether...
    Downloads: 14 This Week
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  • 4
    NLP

    NLP

    Open source NLP guide with models, methods, and real use cases

    NLP is an open source introductory resource for natural language processing, presented as a continuously updated book hosted on GitHub. It explains how machines process and understand human language, combining theory with practical examples. Its covers core NLP concepts such as text representation, feature extraction, and model evaluation, alongside hands-on implementations using tools like Word2Vec, TF-IDF, and FastText. It also introduces topic modeling with LDA, keyword extraction...
    Downloads: 4 This Week
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  • 5
    IndexTTS2

    IndexTTS2

    Industrial-level controllable zero-shot text-to-speech system

    IndexTTS is a modern, zero-shot text-to-speech (TTS) system engineered to deliver high-quality, natural-sounding speech synthesis with few requirements and strong voice-cloning capabilities. It builds on state-of-the-art models such as XTTS and other modern neural TTS backbones, improving them with a conformer-based speech conditional encoder and upgrading the decoder to a high-quality vocoder (BigVGAN2), leading to clearer and more natural audio output. The system supports zero-shot voice...
    Downloads: 29 This Week
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  • 6
    SenseVoice

    SenseVoice

    Multilingual speech recognition and audio understanding model

    SenseVoice is a speech foundation model designed to perform multiple voice understanding tasks from audio input. It provides capabilities such as automatic speech recognition, spoken language identification, speech emotion recognition, and audio event detection within a single system. SenseVoice is trained on more than 400,000 hours of speech data and supports over 50 languages for multilingual recognition tasks. It is built to achieve high transcription accuracy while maintaining efficient...
    Downloads: 6 This Week
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  • 7
    ReCall

    ReCall

    Learning to Reason with Search for LLMs via Reinforcement Learning

    ReCall is an open-source framework designed to train and evaluate language models that can reason through complex problems by interacting with external tools. The project builds on earlier work focused on teaching models how to search for information during reasoning tasks and extends that idea to a broader system where models can call a variety of external tools such as APIs, databases, or computation engines. Instead of relying purely on static knowledge stored inside the model, ReCall...
    Downloads: 0 This Week
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  • 8
    Free LLM API resources

    Free LLM API resources

    A list of free LLM inference resources accessible via API

    Free LLM API resources repository curated by cheahjs is a community-driven index of free and open API endpoints, tools, datasets, runtimes, and utilities for working with large language models (LLMs) without cost-barriers. It collects a wide range of resources including hosted free-tier LLM APIs, documentation links, public model endpoints, open datasets useful for training or evaluation, tooling integrations, and examples showing how to interact with these services in real applications....
    Downloads: 12 This Week
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  • 9
    Open-LLM-VTuber

    Open-LLM-VTuber

    Open source AI VTuber platform with voice chat and Live2D avatars

    Open-LLM-VTuber is an open source platform designed to create AI-powered VTuber characters that can interact with users through voice and animated avatars. It enables hands-free conversations with large language models by combining speech recognition, language processing, and text-to-speech synthesis into a single system. Users can speak directly to the AI character, and the system can respond with a generated voice while animating a Live2D avatar to simulate a talking virtual personality....
    Downloads: 26 This Week
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  • 10
    CUDA Containers for Edge AI & Robotics

    CUDA Containers for Edge AI & Robotics

    Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

    CUDA Containers for Edge AI & Robotics is an open-source project that provides a modular container build system designed for running machine learning and AI workloads on NVIDIA Jetson devices. The repository contains container configurations that package the latest AI frameworks and dependencies optimized for Jetson hardware. These containers simplify the deployment of complex machine learning environments by bundling libraries such as CUDA, TensorRT, and deep learning frameworks into...
    Downloads: 1 This Week
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  • 11
    oterm

    oterm

    the terminal client for Ollama

    Oterm is an open-source terminal client designed to provide a lightweight command-line interface for interacting with large language models through the Ollama ecosystem. The tool allows users to chat with local AI models directly from the terminal without needing a graphical interface or web application. Its interface is designed to be simple and intuitive, enabling developers to launch conversations quickly using a single command. Oterm supports persistent chat sessions that store...
    Downloads: 1 This Week
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  • 12
    Llama-Chinese

    Llama-Chinese

    Llama Chinese community, real-time aggregation

    Llama-Chinese is an open source community initiative focused on adapting and improving Meta’s LLaMA language models for Chinese language applications. The project aggregates datasets, research resources, tutorials, and tools that help developers train and fine-tune LLaMA-based models with Chinese linguistic capabilities. It also provides optimized versions of LLaMA models trained on large-scale Chinese datasets to improve performance in tasks such as translation, summarization, and...
    Downloads: 1 This Week
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  • 13
    MemOS

    MemOS

    AI memory OS for LLM and Agent systems

    MemOS is an experimental operating system and runtime built around the concept of memory-centric computing, where memory objects are first-class citizens and program execution is organized around efficient, persistent memory access rather than traditional process and file system boundaries. The project explores rethinking system abstractions by tightly coupling computation with memory objects so that programs can operate on large datasets without expensive serialization or context switching....
    Downloads: 1 This Week
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  • 14
    Nexent

    Nexent

    Zero-code platform for building AI agents from natural language input

    Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. Built on the MCP ecosystem, Nexent integrates a wide range of tools, models, and data sources into a unified environment for agent...
    Downloads: 2 This Week
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  • 15
    Hugging Face - Speech To Speech

    Hugging Face - Speech To Speech

    Open speech-to-speech models and pipelines by Hugging Face toolkit AI

    This project from Hugging Face focuses on enabling direct speech-to-speech processing using modern machine learning models. It provides tools and reference implementations that allow audio input to be transformed into audio output without requiring an intermediate text representation. Hugging Face - Speech To Speech builds on recent advances in speech modeling, combining components such as speech recognition, translation, and synthesis into unified pipelines. It is designed to help...
    Downloads: 2 This Week
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  • 16
    Fli

    Fli

    Google Flights MCP and Python Library

    Fli is a powerful Python library and command-line tool that provides direct programmatic access to Google Flights data through reverse-engineered API interactions rather than traditional web scraping. This approach enables faster, more reliable, and more stable access to flight information, avoiding the fragility associated with HTML parsing and UI changes.
    Downloads: 2 This Week
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  • 17
    Eidos

    Eidos

    An extensible framework for Personal Data Management

    ...It also includes an extension system that allows developers to create custom tools, scripts, and workflows using programming languages such as TypeScript or Python.
    Downloads: 1 This Week
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  • 18
    DeepSeek-V3.2-Exp

    DeepSeek-V3.2-Exp

    An experimental version of DeepSeek model

    DeepSeek-V3.2-Exp is an experimental release of the DeepSeek model family, intended as a stepping stone toward the next generation architecture. The key innovation in this version is DeepSeek Sparse Attention (DSA), a sparse attention mechanism that aims to optimize training and inference efficiency in long-context settings without degrading output quality. According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely...
    Downloads: 21 This Week
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  • 19
    AI Infra

    AI Infra

    Understanding of AI Infra: Quantitative Analysis and System Design

    AI Infra Book is an open-source technical book and companion repository focused on the infrastructure behind modern large language models. It approaches inference and training through quantitative analysis of hardware limits, data movement, model architecture, and distributed systems. The book contains twelve chapters supported by formulas, diagrams, experiments, and case studies. Companion tools help readers reproduce resource calculations and inspect the assumptions behind system-design...
    Downloads: 0 This Week
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  • 20
    HRM-Text

    HRM-Text

    1B text generation model based on the HRM architecture

    HRM-Text is a one-billion-parameter text generation model and pretraining framework based on the Hierarchical Reasoning Model architecture. It is designed to make foundation model pretraining more accessible by reducing compute and data requirements compared with traditional scaling-heavy approaches. The system combines hierarchical recurrent design, task-completion strengthening, and latent-space reasoning. Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels,...
    Downloads: 0 This Week
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  • 21
    Claude Code Hooks Mastery

    Claude Code Hooks Mastery

    Master Claude Code Hooks

    Claude Code Hooks Mastery is a trending community-centric GitHub repository aimed at helping developers master Claude Code hooks — customizable integration points that let users extend, automate, and augment workflows when using Claude Code, an agentic terminal coding assistant. Although the project itself doesn’t include a single coherent application, it functions as a curated collection of advanced hook examples, best practices, and coding patterns that show how to tailor Claude Code to...
    Downloads: 0 This Week
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  • 22
    TurboDiffusion

    TurboDiffusion

    100–200× Acceleration for Video Diffusion Models

    TurboDiffusion is an advanced open-source framework designed to dramatically accelerate video diffusion model generation, aiming for performance improvements on the order of 100–200× compared with traditional implementations while retaining high output quality. It achieves this by combining a suite of algorithmic and engineering optimizations, including attention acceleration techniques, efficient step distillation methods, and quantization strategies that reduce computational overhead. The...
    Downloads: 0 This Week
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  • 23
    Klavis AI

    Klavis AI

    MCP integration platforms for AI agents to use tools at any scale

    ...Developers can integrate via Python/TypeScript SDKs or REST API, with support for OpenAI, Claude, Gemini, LangChain, LlamaIndex, and CrewAI. Features include built-in authentication, multi-tenancy, hosted servers, Docker support, and enterprise security guardrails. Licensed under Apache 2.0, Klavis simplifies AI development by eliminating complex authentication management and enabling seamless workflow automation across multiple applications.
    Downloads: 2 This Week
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  • 24
    LitServe

    LitServe

    Minimal Python framework for scalable AI inference servers fast

    LitServe is a minimal Python framework designed for building custom AI inference servers with full control over how models are executed and served. It allows developers to define their own inference logic, making it suitable for complex systems such as multi-model pipelines, agents, and retrieval-augmented generation workflows. Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and output processing directly in Python. ...
    Downloads: 0 This Week
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  • 25
    Build Your Own OpenClaw

    Build Your Own OpenClaw

    A step-by-step guide to build your own AI agent

    Build Your Own OpenClaw is a step-by-step educational framework that teaches developers how to construct a fully functional AI agent system from scratch, gradually evolving from a simple chat loop into a multi-agent, production-ready architecture. The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable...
    Downloads: 0 This Week
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