Search Results for "open source project" - Page 20

Showing 16895 open source projects for "open source project"

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  • 1
    Datasette

    Datasette

    An open source multi-tool for exploring and publishing data

    Datasette is a tool for exploring and publishing data. It helps people take data of any shape or size, analyze and explore it, and publish it as an interactive website and accompanying API. Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world. It is part of a wider ecosystem of tools and plugins dedicated to making working with structured data as productive as...
    Downloads: 4 This Week
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  • 2
    RF-DETR

    RF-DETR

    RF-DETR is a real-time object detection and segmentation

    RF-DETR is an open-source computer vision framework that implements a real-time object detection and instance segmentation model based on transformer architectures. Developed by Roboflow, the project builds upon modern vision transformer backbones such as DINOv2 to achieve strong accuracy while maintaining efficient inference speeds suitable for real-time applications.
    Downloads: 3 This Week
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  • 3
    MaiBot

    MaiBot

    Maimaibot, a (more focused) multi-platform intelligent agent

    MaiBot is an open-source conversational AI agent designed to participate in group chats and behave like a socially aware digital persona. The project focuses on creating a more human-like interactive experience by combining large language models with behavioral planning and contextual awareness. Instead of functioning as a traditional command-driven chatbot, the system attempts to simulate natural social participation within group conversations.
    Downloads: 3 This Week
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  • 4
    AirLLM

    AirLLM

    AirLLM 70B inference with single 4GB GPU

    AirLLM is an open source Python library that enables extremely large language models to run on consumer hardware with very limited GPU memory. The project addresses one of the main barriers to local LLM experimentation by introducing a memory-efficient inference technique that loads model layers sequentially rather than storing the entire model in GPU memory.
    Downloads: 3 This Week
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  • 5
    BBOT

    BBOT

    The recursive internet scanner for hackers

    BBOT is an advanced open-source reconnaissance automation framework designed to streamline large-scale OSINT and attack surface discovery workflows. It operates as a modular and recursive scanning tool that can enumerate subdomains, perform port scans, gather metadata, and collect web intelligence through a unified command-line interface. The project emphasizes extensibility, allowing users to create or integrate custom modules that expand the scope of reconnaissance tasks without modifying the core engine. ...
    Downloads: 3 This Week
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  • 6
    Speakr

    Speakr

    Speakr is a personal, self-hosted web application

    Speakr is an open-source, real-time text-to-speech (TTS) web application that allows users to convert written text into natural-sounding speech in just a few clicks. It provides a clean, user-friendly interface where users can input text, choose a voice style or language, and immediately hear the output, making it ideal for accessibility, content creation, and learning applications.
    Downloads: 3 This Week
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  • 7
    FastKoko

    FastKoko

    Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model

    FastKoko is a self-hosted text-to-speech server built around the Kokoro-82M model and exposed through a FastAPI backend. It is designed to be easy to deploy via Docker, with separate CPU and GPU images so that users can choose between pure CPU inference and NVIDIA GPU acceleration. The project exposes an OpenAI-compatible speech endpoint, which means existing code that talks to the OpenAI audio API can often be pointed at a Kokoro-FastAPI instance with minimal changes. It supports multiple...
    Downloads: 7 This Week
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  • 8
    MLX-Audio

    MLX-Audio

    A text-to-speech, speech-to-text and speech-to-speech library

    MLX-Audio is a speech library built on Apple’s MLX framework and optimized for Apple Silicon machines (M-series Macs). It focuses on text-to-speech and speech-to-speech workflows, with APIs and a command-line interface that make it easy to generate high-quality audio from text. Because it uses MLX and targets Apple Silicon, inference is fast and can take advantage of hardware acceleration and quantization for efficient on-device performance. The project provides a straightforward CLI...
    Downloads: 7 This Week
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  • 9
    URH (Universal Radio Hacker)

    URH (Universal Radio Hacker)

    Universal Radio Hacker: Investigate Wireless Protocols Like A Boss

    Universal Radio Hacker (URH) is a tool for investigating unknown wireless communication protocols. It supports signal capturing, decoding, modulation analysis, and protocol reverse engineering through an intuitive graphical interface. URH is used in research, security testing, and hobbyist electronics for understanding proprietary RF systems, IoT device communication, and embedded protocols.
    Downloads: 39 This Week
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  • 10
    MuseGAN

    MuseGAN

    An AI for Music Generation

    MuseGAN is a deep learning research project designed to generate symbolic music using generative adversarial networks. The system focuses specifically on generating multi-track polyphonic music, meaning that it can simultaneously produce multiple instrument parts such as drums, bass, piano, guitar, and strings. Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track. This representation...
    Downloads: 1 This Week
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  • 11
    Text-to-LoRA (T2L)

    Text-to-LoRA (T2L)

    Hypernetworks that adapt LLMs for specific benchmark tasks

    Text-to-LoRA is a research project that introduces a method for dynamically adapting large language models using hypernetworks that generate LoRA parameters directly from textual descriptions. Instead of training a new LoRA adapter for every task or dataset, the system can produce task-specific adaptations based solely on a text description of the desired capability. This approach enables models to rapidly internalize new contextual knowledge without performing traditional fine-tuning steps....
    Downloads: 1 This Week
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  • 12
    Open Wearables

    Open Wearables

    Unified API for 200+ wearables. Self-hosted, no fees.

    Open-source, self-hosted health intelligence platform that unifies data from 200+ wearables into a single API. Built to democratize access to wearable data infrastructure that's typically locked behind enterprise contracts - deploy with docker-compose, own your data, no per-user fees.
    Downloads: 2 This Week
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  • 13
    YOLOv5

    YOLOv5

    YOLOv5 is the world's most loved vision AI

    Introducing Ultralytics YOLOv8, the latest version of the acclaimed real-time object detection and image segmentation model. YOLOv8 is built on cutting-edge advancements in deep learning and computer vision, offering unparalleled performance in terms of speed and accuracy. Its streamlined design makes it suitable for various applications and easily adaptable to different hardware platforms, from edge devices to cloud APIs. Explore the YOLOv8 Docs, a comprehensive resource designed to help...
    Downloads: 52 This Week
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  • 14
    PyAV

    PyAV

    Pythonic bindings for FFmpeg's libraries

    PyAV is a Python library that provides direct bindings to FFmpeg, offering fine-grained control over multimedia processing through a Pythonic interface. It enables developers to work with media containers, streams, packets, codecs, and frames, exposing low-level operations while simplifying some of the complexity of FFmpeg. The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV...
    Downloads: 51 This Week
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  • 15
    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.
    Downloads: 2 This Week
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  • 16
    Coursera-ML-AndrewNg-Notes

    Coursera-ML-AndrewNg-Notes

    Personal notes from Wu Enda's machine learning course

    Coursera-ML-AndrewNg-Notes is an open-source repository that provides detailed study notes and explanations for Andrew Ng’s well-known machine learning course. The project aims to help students understand the mathematical concepts, algorithms, and intuition behind fundamental machine learning techniques taught in the course. It organizes the material into clear written summaries that accompany each lecture topic, including supervised learning, regression methods, neural networks, and optimization algorithms. ...
    Downloads: 12 This Week
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  • 17
    OpenPlanter

    OpenPlanter

    Language-model investigation agent with a terminal UI

    OpenPlanter is an open-source Python project focused on building an intelligent automated planting or gardening system powered by software control and data processing. The repository is designed to help developers and hobbyists create programmable plant management workflows that can monitor, schedule, and optimize growing conditions. It emphasizes automation and extensibility, allowing integration with sensors, environmental data, and control logic for smart cultivation setups. ...
    Downloads: 2 This Week
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  • 18
    Tribler

    Tribler

    Privacy enhanced BitTorrent client with P2P content discovery

    Tribler is a decentralized, privacy-enhanced BitTorrent client developed by researchers at Delft University of Technology. It introduces built-in anonymity using a Tor-like onion routing network and integrates its own blockchain for economic incentives and trust management. Tribler supports standard torrenting features along with distributed search, self-contained channels, and peer reputation. Its goal is to provide a fully autonomous file-sharing network without relying on external...
    Downloads: 43 This Week
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  • 19
    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: 4 This Week
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  • 20
    Datapizza AI

    Datapizza AI

    Build reliable Gen AI solutions without overhead

    Datapizza AI is a lightweight framework for building modular, multi-agent AI systems that collaborate to solve complex tasks through orchestration and tool usage. The project focuses on simplicity and transparency, enabling developers to construct agent-based workflows without the heavy abstractions and dependencies often found in larger AI frameworks. It provides a flexible architecture where individual agents can be assigned specialized roles, such as web search, reasoning, or...
    Downloads: 4 This Week
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  • 21
    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...
    Downloads: 3 This Week
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  • 22
    nano-graphrag

    nano-graphrag

    A simple, easy-to-hack GraphRAG implementation

    nano-graphrag is a lightweight implementation of the GraphRAG approach designed to simplify experimentation with graph-based retrieval-augmented generation systems. GraphRAG expands traditional RAG pipelines by constructing knowledge graphs from documents and using relationships between entities to improve the quality and reasoning of AI responses. The nano-GraphRAG project focuses on reducing complexity by providing a compact and readable codebase that preserves the core functionality of...
    Downloads: 4 This Week
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  • 23
    Happy-LLM

    Happy-LLM

    Large Language Model Principles and Practice Tutorial from Scratch

    Happy-LLM is an open-source educational project created by the Datawhale AI community that provides a structured and comprehensive tutorial for understanding and building large language models from scratch. The project guides learners through the entire conceptual and practical pipeline of modern LLM development, starting with foundational natural language processing concepts and gradually progressing to advanced architectures and training techniques. ...
    Downloads: 0 This Week
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  • 24
    ReMe

    ReMe

    Memory Management Kit for Agents

    ReMe is a memory management kit for AI agents that gives them structured, persistent memory capabilities, enabling agents to extract, store, and reuse information across sessions, tasks, and interactions. It is designed to support long-running agent workflows where context matters and working memory alone isn’t enough, helping agents remember user preferences, task histories, and relevant past observations. The toolkit provides APIs to offload large, ephemeral outputs to external storage and...
    Downloads: 4 This Week
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  • 25
    plexe

    plexe

    Build a machine learning model from a prompt

    plexe lets you build machine-learning systems from natural-language prompts, turning plain English goals into working pipelines. You describe what you want—a predictor, a classifier, a forecaster—and the tool plans data ingestion, feature preparation, model training, and evaluation automatically. Under the hood an agent executes the plan step by step, surfacing intermediate results and artifacts so you can inspect or override choices. It aims to be production-minded: models can be exported,...
    Downloads: 4 This Week
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