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Showing 14 open source projects for "jupyter lab"

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  • 1
    Best-of Jupyter

    Best-of Jupyter

    A ranked list of awesome Jupyter Notebook, Hub and Lab projects

    This curated list contains 300 awesome open-source projects with a total of 360K stars grouped into 13 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml.
    Downloads: 0 This Week
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  • 2
    nbcelltests

    nbcelltests

    Cell-by-cell testing for production Jupyter notebooks in JupyterLab

    nbcelltests is designed for writing tests for linearly executed notebooks. Its primary use is for unit testing reports. Cell-by-cell testing for production Jupyter notebooks in JupyterLab. To use in JupyterLab, you will also need the lab and server extensions. Typically, these are automatically installed alongside nbcelltests, so you should not need to do anything special to use them. The lab extension will require a rebuild of JupyterLab, which you'll be prompted to do on starting JupyterLab the first time after installing celltests (or you can do it manually with jupyter lab build). ...
    Downloads: 1 This Week
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  • 3
    Advanced Solutions Lab

    Advanced Solutions Lab

    This repos contains notebooks for the Advanced Solutions Lab

    This repository contains Jupyter notebooks meant to be run on Vertex AI. This is maintained by Google Cloud’s Advanced Solutions Lab (ASL) team. Vertex AI is the next-generation AI Platform on the Google Cloud Platform. The material covered in this repo will take a software engineer with no exposure to machine learning to an advanced level.
    Downloads: 1 This Week
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  • 4
    Jupytext

    Jupytext

    Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

    ...Text notebooks with a .py or .md extension are well suited for version control. They can be edited or authored conveniently in an IDE. You can open and run them as notebooks in Jupyter Lab with a right click. However, the notebook outputs are lost when the notebook is closed, as only the notebook inputs are saved in text notebooks.
    Downloads: 3 This Week
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    Outplacement, Executive Coaching and Career Development | Careerminds

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  • 5
    Qiskit

    Qiskit

    Qiskit is an open-source SDK for working with quantum computers

    Qiskit [kiss-kit] is an open-source SDK for working with quantum computers at the level of pulses, circuits, and application modules. When you are looking to start Qiskit, you have two options. You can start Qiskit locally, which is much more secure and private, or you get started with Jupyter Notebooks hosted in IBM Quantum Lab. Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor or processor architecture with minimal inputs. ...
    Downloads: 15 This Week
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  • 6
    DeepLabCut

    DeepLabCut

    Implementation of DeepLabCut

    DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. The package is open source, fast, robust, and can be used to compute 3D pose estimates or for...
    Downloads: 7 This Week
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  • 7
    DeepMind Research

    DeepMind Research

    Implementations and code to accompany DeepMind publications

    ...Each project folder typically includes its own README, scripts, and notebooks so you can run experiments or explore models in isolation, and many link to associated datasets or external environments like DeepMind Lab and StarCraft II. The codebase is primarily Jupyter Notebooks and Python, reflecting an emphasis on experimentation and pedagogy rather than production packaging.
    Downloads: 1 This Week
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  • 8
    PySchool

    PySchool

    Installable / Portable Python Distribution for Everyone.

    PySchool is a free and open-source Python distribution intended primarily for students who learn Python and data analysis, but it can also used by scientists, engineering, and data scientists. It includes more than 150 Python packages (full edition) including numpy, pandas, scipy, sympy, keras, scikit-learn, matplotlib, seaborn, beautifulsoup4...
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    Downloads: 1,841 This Week
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  • 9
    aws_glue_databrew_jupyter

    aws_glue_databrew_jupyter

    Manage your AWS Glue Databrew resources in-context

    This is an extension for Jupyter Lab that allows you to manage your AWS Glue Databrew resources in-context of your existing Jupyter workflows.
    Downloads: 0 This Week
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  • 10
    Python4Proteomics Course

    Python4Proteomics Course

    Python course for Proteomics analysis

    Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md
    Downloads: 3 This Week
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  • 11
    2D Structural Analysis

    2D Structural Analysis

    Determine the bending moments, shear forces, axial forces and displace

    2D Structural Analysis in Python by Ritchie Vink A collection examples of 2D Finite Element Analysis (FEA) made with Jupyter Notebook Lab - https://jupyter.org/ To install Jupyter - https://jupyter.org/install ===== App is available on Play Store -> https://play.google.com/store/apps/details?id=com.ulm.struct If you want to download a python editor for your android smartphone follow this link -> https://play.google.com/store/apps/details?id=com.ulm.python
    Downloads: 3 This Week
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  • 12
    Jupyter Server Proxy

    Jupyter Server Proxy

    Jupyter notebook server extension to proxy web services.

    Jupyter Server Proxy lets you run arbitrary external processes (such as RStudio, Shiny Server, Syncthing, PostgreSQL, Code Server, etc) alongside your notebook server and provide authenticated web access to them using a path like /rstudio next to others like /lab. Alongside the Python package that provides the main functionality, the JupyterLab extension (@jupyterhub/jupyter-server-proxy) provides buttons in the JupyterLab launcher window to get to RStudio for example.
    Downloads: 0 This Week
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  • 13
    BeakerX

    BeakerX

    Beaker Extensions for Jupyter Notebook

    ...Polyglot magics and autotranslation, allowing you to access multiple languages in the same notebook, and seamlessly communicate between them. Apache Spark integration including GUI configuration, status, progress, interrupt, and tables. One-click publication with interactive plots and tables, and Jupyter Lab. BeakerX is available via conda, pip, and docker. Or try it live online with Binder. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps.
    Downloads: 0 This Week
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  • 14
    CFD Python

    CFD Python

    Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes

    ...The module assumes only basic programming knowledge (in any language) and some background in partial differential equations and fluid mechanics. The "steps" were inspired by the ideas of Dr. Rio Yokota, who was a post-doc in Prof. Barba's lab until 2011, and the lessons were refined by Prof. Barba and her students over several semesters teaching the CFD course. We wrote this set of Jupyter notebooks in 2013 to teach an intensive two-day course in Mendoza, Argentina.
    Downloads: 0 This Week
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