Showing 732 open source projects for "collection"

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    $300 Free Credits to Build on Google Cloud

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    MongoDB Atlas runs apps anywhere

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  • 1
    Colossal-AI

    Colossal-AI

    Making large AI models cheaper, faster and more accessible

    ...However, distributed training, especially model parallelism, often requires domain expertise in computer systems and architecture. It remains a challenge for AI researchers to implement complex distributed training solutions for their models. Colossal-AI provides a collection of parallel components for you. We aim to support you to write your distributed deep learning models just like how you write your model on your laptop.
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  • 2
    Spring AI Alibaba Examples

    Spring AI Alibaba Examples

    Spring AI Alibaba examples for building and testing AI apps

    Spring AI Alibaba Examples provides a collection of example projects that demonstrate how to use Spring AI and Spring AI Alibaba across different scenarios, from basic setups to more advanced AI applications. It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem.
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  • 3
    E2B Cookbook

    E2B Cookbook

    Examples of using E2B

    E2B Cookbook is an open-source collection of example projects, guides, and reference implementations demonstrating how to build applications using the E2B platform. The repository acts as a practical learning resource for developers who want to integrate AI agents with secure cloud execution environments that allow large language models to run code and interact with tools.
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  • 4
    Claude Code Tools

    Claude Code Tools

    Practical productivity tools for Claude Code, Codex-CLI

    Claude Code Tools is an open-source collection of command-line utilities and productivity plugins designed to enhance developer workflows when using AI coding agents such as Claude Code and Codex-CLI. The project focuses on solving common problems encountered in AI-assisted development environments, including managing session history, automating terminal interactions, and maintaining context across multiple coding sessions.
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  • One Monitoring Tool for IT, OT and Cloud | Free Trial Icon
    One Monitoring Tool for IT, OT and Cloud | Free Trial

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  • 5
    ESPnet

    ESPnet

    End-to-end speech processing toolkit

    ESPnet is a comprehensive end-to-end speech processing toolkit covering a wide spectrum of tasks, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation (ST), speech enhancement, speaker diarization, and spoken language understanding. It uses PyTorch as its deep learning engine and adopts a Kaldi-style data processing pipeline for features, data formats, and experimental recipes. This combination allows researchers to leverage modern neural architectures while...
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  • 6
    Blik

    Blik

    Self hosted & open source anonymous 360 review software

    Blik is an open source, self-hosted platform for anonymous 360-degree feedback and performance review cycles, built with a strong focus on privacy, transparency, and developer-friendly deployment. It allows organizations to run review cycles where employees get anonymous feedback from peers, managers, and direct reports, without vendor lock-in or per-user licensing costs. The system is built using the Django framework, with a PostgreSQL backend, and is packaged for easy deployment via...
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  • 7
    fvcore

    fvcore

    Collection of common code shared among different research projects

    fvcore is a lightweight utility library that factors out common performance-minded components used across Facebook/Meta computer-vision codebases. It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A...
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  • 8
    Deep Lake

    Deep Lake

    Data Lake for Deep Learning. Build, manage, and query datasets

    ...Store images, audios and videos in their native compression. Deeplake automatically decompresses them to raw data only when needed, e.g., when training a model. Treat your cloud datasets as if they are a collection of NumPy arrays in your system's memory. Slice them, index them, or iterate through them.
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  • 9
    Buildbot

    Buildbot

    Python-based continuous integration testing framework

    ...At its core, Buildbot is a job scheduling system: it queues jobs, executes the jobs when the required resources are available, and reports the results. Your Buildbot installation has one or more masters and a collection of workers. The masters monitor source-code repositories for changes, coordinate the activities of the workers, and report results to users and developers. Workers run on a variety of operating systems. You configure Buildbot by providing a Python configuration script to the master. This script can be very simple, configuring built-in components, but the full expressive power of Python is available. ...
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    Demo Series - Small Business Backup By Veeam

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  • 10
    AWS MCP Servers

    AWS MCP Servers

    Helping you get the most out of AWS, wherever you use MCP

    AWS MCP Servers are a collection of remotely hosted, fully-managed Model Context Protocol (MCP) servers by AWS, providing AI applications with real-time access to AWS documentation, API references, best practices, and infrastructure-management capabilities via natural-language workflows. An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol.
    Downloads: 0 This Week
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  • 11
    Otter-Grader

    Otter-Grader

    A Python and R autograding solution

    ...It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.
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  • 12
    Stanza

    Stanza

    Stanford NLP Python library for many human languages

    Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. ...
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  • 13
    GLM-4.5V

    GLM-4.5V

    GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning

    ...GLM-4.5V emerged from a training framework that leverages scalable reinforcement learning (with curriculum sampling) to boost performance across tasks ranging from STEM problem solving to long-context reasoning, giving it broad applicability beyond narrow benchmarks. When it was released, it achieved state-of-the-art results on a large collection of public multimodal benchmarks for open-source models.
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  • 14
    Step-Audio

    Step-Audio

    Open-source framework for intelligent speech interaction

    Step-Audio is a unified, open-source framework aimed at building intelligent speech systems that combine both comprehension and generation: it integrates large language models (LLMs) with speech input/output to handle not only semantic understanding but also rich vocal characteristics like tone, style, dialect, emotion, and prosody. The design moves beyond traditional separate-component pipelines (ASR → text model → TTS), instead offering a multimodal model that ingests speech or audio and...
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  • 15
    Darts

    Darts

    A python library for easy manipulation and forecasting of time series

    darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models...
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  • 16
    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...
    Downloads: 6 This Week
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  • 17
    SynWrite add-ons

    SynWrite add-ons

    Collection of add-ons for SynWrite editor

    Collection of add-ons for SynWrite editor. These add-ons can be installed via program's Addon Manager, or you can download zip files to install later.
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    Downloads: 489 This Week
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  • 18
    Python-Spider

    Python-Spider

    Python3 web crawler practice

    Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe concurrency or scheduling to crawl multiple pages, and techniques to handle common web-scraping issues. ...
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  • 19
    PySolFC
    PySolFC (PySol Fan Club edition) is an extended version of PySol (a solitaire card games collection).
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    Downloads: 531 This Week
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  • 20
    QASystemOnMedicalKG

    QASystemOnMedicalKG

    A tutorial and implement of disease centered Medical knowledge graph

    ...It collects structured information from vertical medical websites and imports the resulting entities and relationships into Neo4j. The included graph contains diseases, symptoms, drugs, foods, examinations, departments, and commercial drug products. Python scripts handle data collection, dictionary-based segmentation, graph construction, question classification, parsing, and database queries. The chatbot recognizes many question patterns, including symptoms, causes, complications, diet guidance, medications, examinations, prevention, treatment methods, and susceptible groups. Users configure Neo4j, build the database, and launch the graph-based chat program locally. ...
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  • 21

    MHNs Python Examples

    Collection of Python code examples.

    Downloads: 0 This Week
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  • 22
    eduActiv8

    eduActiv8

    A collection of interactive educational exercises

    eduActiv8 is a free Open Source multi-platform educational application that aims to assist in learning various early education topics - from learning the alphabet and new words, colours, time to a wide range of maths-related subjects. eduActiv8 is a continuation of the development of the pySioGame project just under a new name. It is being developed on GitHub at: https://github.com/imiolek-ireneusz/eduActiv8 but 'compiled' releases are published here. The latest version has been...
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    Downloads: 197 This Week
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  • 23
    Xbase64 is a collection of specifications, programs, utilities and a C++ class library for manipulating Xbase type datafiles (DBF,DBT) and indices (MDX,NDX).
    Downloads: 14 This Week
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  • 24

    EconViewer

    Free, ad-free image viewer with PDF & PSD support. Made in S.Korea

    EconViewer is a free, ad-free image viewer developed by ECONTECH, South Korea. Supports JPG, PNG, BMP, GIF, WEBP, TIFF, ICO, PDF, and PSD (Photoshop) files. 100% clean install — no bundled software, no adware. Zero personal data collection. Available in 10 languages: Korean, English, Chinese (Simplified), Chinese (Traditional), French, German, Spanish, Portuguese (Brazilian), Russian, Hindi. Supported OS: Windows 10, 11.
    Downloads: 3 This Week
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  • 25

    ritaos

    RitaOS is a free and open-source software collection featuring offline

    RitaOS is an open-source project providing free software for education, healthcare, multimedia and communication. Current projects include: • RitaOS MediaConverter • RitaOS Visual Voice • RitaOS BridgeCopy • RitaOS Care Communicator • RitaWiki • RitaOS Toolkit Website: https://ritaos.de All software is provided free of charge. Use at your own risk.
    Downloads: 19 This Week
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