Showing 6 open source projects for "visual code studio"

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    Gemini 3 and 200+ AI Models on One Platform

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  • 1
    Dask

    Dask

    Parallel computing with task scheduling

    Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines.
    Downloads: 2 This Week
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  • 2
    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: 3 This Week
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  • 3
    bridgex

    bridgex

    Convert files like docx, xlsx, pptx, html, and more to MarkDown

    Bridgex is an open‑source graphical interface for converting files to Markdown, built in Python and based on Pyside6 (Qt for Python). Its objective is to simplify access to the Markitdown library through a straightforward, modular visual experience. Features ✨ - Cross‑platform graphical interface. - Efficient file‑to‑Markdown conversion. - Modularity: easy to adapt and extend. - Support for multiple input formats. - Lightweight editing prior to saving. Supported Formats...
    Downloads: 5 This Week
    Last Update:
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  • 4
    Orchest

    Orchest

    Build data pipelines, the easy way

    Code, run and monitor your data pipelines all from your browser! From idea to scheduled pipeline in hours, not days. Interactively build your data science pipelines in our visual pipeline editor. Versioned as a JSON file. Run scripts or Jupyter notebooks as steps in a pipeline. Python, R, Julia, JavaScript, and Bash are supported. Parameterize your pipelines and run them periodically on a cron schedule.
    Downloads: 0 This Week
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  • 5
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    ...This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.
    Downloads: 1 This Week
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  • 6
    NanoCap

    NanoCap

    Carbon Fullerene and Capped Nanotube Generator

    ...It provides an ideal tool to accompany the study of finite carbon molecules using computer simulation. The implementation involves a standalone application which includes a GUI and allows for dynamic visual inspection through 3D rendering. In addition, the NanoCap core libraries can be used in custom Python scripts that enabled the user to produce structures in bulk or to include the structure generation routines into pre-existing code.
    Downloads: 5 This Week
    Last Update:
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