Showing 9 open source projects for "book library management system in python"

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    Effortlessly manage macOS, iOS, iPadOS and tvOS devices across multiple clients and locations.

    The Most Powerful Apple Device Management Tool for MSPs and IT Teams

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  • Component Content Management System for Software Documentation Icon
    Component Content Management System for Software Documentation

    Great tool for serious technical writers

    Paligo is an end-to-end Component Content Management System (CCMS) solution for technical documentation, policies and procedures, knowledge management, and more.
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  • 1
    AutoResearchClaw

    AutoResearchClaw

    Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞

    AutoResearchClaw is an open-source framework designed to automatically generate full academic research papers from a single idea or topic. Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run...
    Downloads: 31 This Week
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  • 2
    Arize Phoenix

    Arize Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative)...
    Downloads: 14 This Week
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  • 3
    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. Select any of the publicly available datasets from the...
    Downloads: 6 This Week
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  • 4
    torchvision

    torchvision

    Datasets, transforms and models specific to Computer Vision

    The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. We recommend Anaconda as Python package management system. Torchvision currently supports Pillow (default), Pillow-SIMD, which is a much faster drop-in replacement for Pillow with SIMD, if installed will be used as the default. Also, accimage, if installed can be activated by calling torchvision.set_image_backend('accimage'), libpng, which can be installed via...
    Downloads: 6 This Week
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  • The All-In-One Google Workspace Management Tool for IT Admins Icon
    The All-In-One Google Workspace Management Tool for IT Admins

    Our advanced administration makes adding, deleting, suspending, and de-provisioning users simple and quick.

    gPanel by Promevo streamlines administration, security, and user management, giving organizations full control over their Google Workspace.
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  • 5
    fairseq2

    fairseq2

    FAIR Sequence Modeling Toolkit 2

    fairseq2 is a modern, modular sequence modeling framework developed by Meta AI Research as a complete redesign of the original fairseq library. Built from the ground up for scalability, composability, and research flexibility, fairseq2 supports a broad range of language, speech, and multimodal content generation tasks, including instruction fine-tuning, reinforcement learning from human feedback (RLHF), and large-scale multilingual modeling. Unlike the original fairseq—which evolved into a...
    Downloads: 2 This Week
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  • 6
    simpleaichat

    simpleaichat

    Python package for easily interfacing with chat apps

    simpleaichat is a Python library that streamlines building conversational apps with large language models by offering a minimal, developer-friendly interface. It aims to abstract the boilerplate of prompt management, message history, and streaming while leaving core Python control in your hands. The package emphasizes simplicity over heavy frameworks, making it ideal for scripts, notebooks, and small services that need LLMs without architectural lock-in. ...
    Downloads: 0 This Week
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  • 7
    LUMINOTH

    LUMINOTH

    Deep Learning toolkit for Computer Vision

    LUMINOTH is an open-source deep learning toolkit designed for computer vision tasks, particularly object detection. The framework is implemented in Python and built on top of TensorFlow and the Sonnet neural network library, providing a modular environment for training and deploying detection models. It was created to simplify the process of building and experimenting with deep learning models capable of identifying objects within images. Luminoth includes support for popular object...
    Downloads: 0 This Week
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  • 8
    Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
    Downloads: 0 This Week
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  • 9
    This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling
    Downloads: 0 This Week
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  • Supercharge Your Manufacturing with Easy MRP and MES Software Icon
    Supercharge Your Manufacturing with Easy MRP and MES Software

    Designed for SME manufacturers who want to reduce wasteful manual processing, save time and increase profits.

    Flowlens eliminates stock-outs, shortage and overstocks, avoiding costly production delays. Stay in control of inventory levels and keep production running smoothly with real-time visibility and easy-to-use stock management. Import bulk data with ease.
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