Search Results for "notebook" - Page 12
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Showing 386 open source projects for "notebook"
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DS-Take-Home
Solution to the book A Collection of Data Science Take-Home Challenge
...The project is designed as a learning resource where aspiring data scientists can study how typical industry-style take-home assignments are solved using data analysis and machine learning techniques. Each challenge is implemented in a separate Jupyter notebook that walks through the process of analyzing datasets, performing exploratory data analysis, building predictive models, and interpreting results. The problems cover a broad set of applied data science topics including conversion rate analysis, fraud detection, employee retention modeling, marketing campaign evaluation, and recommendation-style problems. -
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GeoNotebook
A Jupyter notebook extension for geospatial visualization and analysis
GeoNotebook is an open-source extension to the Jupyter Notebook ecosystem that equips users with powerful geospatial visualization and analysis capabilities directly within the notebook interface. It integrates with GeoJS and other geospatial services to enable rich, interactive map rendering, layer control, and GIS data manipulation alongside traditional code and markdown cells in a Jupyter environment. -
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Xenta OS Packages
Debian Repository Packages (.deb) for Distributions Xenta OS.
Xenta OS is a Linux Distro Local Indonesian containing software (software) which can be used for desktop, laptop and notebook. Equipped with various knick-knacks Indonesia, this distribution is suitable for computer users in Indonesia. -
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Xenta OS Linux
Free Software Distributions GNU/Linux Indonesia
Xenta OS is a Linux Distro Local Indonesian containing software (software) which can be used for desktop, laptop and notebook. Equipped with various knick-knacks Indonesia, this distribution is suitable for computer users in Indonesia. -
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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. -
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Jupyter Themes
Custom Jupyter Notebook Themes
...Because it modifies the Notebook’s CSS, the project focuses on lightweight overrides rather than invasive changes, minimizing breakage across notebook versions. It’s especially valued by power users who spend long hours in notebooks and want a consistent, eye-friendly environment. -
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BeakerX
Beaker Extensions for Jupyter Notebook
...Widgets for time-series plotting, tables, forms, and more (there are Python and JavaScript APIs in addition to the JVM languages). 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. -
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A web based electronic lab notebook that is centred around the principles of Research Data Management.
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NASH OS
Nash Operating System for Modern Ecommerce
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Python/xarray tutorial
Python/xarray tutorial for GEOS-Chem users
If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. -
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vimpyter
Edit your Jupyter notebooks in Vim/Neovim
Input/output cells are displayed using a custom syntax file and folding. See your edits by starting Jupyter Notebook/Nteract application with a single command/mapping (just remember to save your modifications). You may have to reload the browser page/app to see the effects. -
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pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook
PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing libraries in the world, so it makes sense to interface with it. -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
...The basic part (the first five chapters) explains the content of PyTorch. This part introduces the main modules in PyTorch and some tools commonly used in deep learning. For this part of the content, Jupyter Notebook is used as a teaching tool here, and readers can modify and run with notebooks and repeat experiments. -
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Rekall
Rekall Memory Forensic Framework
...Rekall supports profile-free operation for many targets, reducing setup friction and making it easier to handle varied images in the field. Extensibility is a core theme, with a plugin API and notebook-friendly workflows for custom hunts and triage. Used well, it compresses what would be hours of manual sleuthing into scripted passes over a consistent object model. -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative... -
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A Whirlwind Tour of Python
The Jupyter Notebooks behind my OReilly report
...The material is aimed at people who already know how to program in another language and want to transition efficiently into idiomatic Python, particularly for research and analytical work. Each notebook mixes short explanations with executable code cells, encouraging readers to run, modify, and experiment with examples as they go. The project also backs a free O’Reilly report and an online version of the book, making it easy to read in the browser or work locally with the notebooks. -
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scriptkernel-libre
script de compilação automatica do kernel linux-libre no ubuntu
...OBS = Necessario minimo 13 GB livre no HD antes da execução do script ENGLISH: script in bash to automatically compile the linux-libre kernel in Ubuntu 14.04+ for PC / NOTEBOOK that has at least 2 GB of RAM memory , downloads and compiles everything automatically using CFLAGS -march=native + -Ofast , being only necessary to choose the architecture exact your processor in MENUCONFIG . NOTE = Needed least 13 GB free HD before script execution -
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Computational Linear Algebra for Coders
Free online textbook of Jupyter notebooks
Computational Linear Algebra for Coders is an open-source educational repository created by the fast.ai community that serves as a free online textbook and course for computational linear algebra. The project presents linear algebra concepts from a practical perspective focused on how computers perform matrix operations efficiently and accurately. The course materials are organized as Jupyter notebooks that combine explanations, code demonstrations, and exercises. Instead of emphasizing... -
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jupyter-themer
Apply custom CSS styling to your jupyter notebooks
Apply custom CSS styling to your jupyter notebooks. Contributions are welcome! -
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DeepLearningProject
An in-depth machine learning tutorial
This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. The dataset is not one of the standard sets like MNIST or CIFAR, you... -
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BioRec:Bird Census field data annotation
Recognizing biological data from a notebook.
This project helps to digitize field data for a certain Bird Census method. Namely, bird census based on personal inspection or small (~10 km^2) regions with recording birds' position and behaviour on paper. This project makes it easy to annotate such field data and to make this data available for statistical analysis. -
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
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Python in neuroscience
Collection of tutorials about methods of computational neuroscience
...The tutorials offer an introduction to basic methods of computational neuroscience and scientific programming in Python. They are authored in the environment called Jupyter Notebook -- you can even try it in your browser. -
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Rodeo
A data science IDE for Python
...It is an IDE that has been built especially for data science/Machine Learning in Python and you can also very simply think of it as a light weight alternative to the IPython Notebook. -
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...Moreover it has a special feature to make physical (burned) backups of your CD / DVD images when it is possible. It supports Alcohol 120%-Images (MDS-Files) and RMPS-Media. It's also great if you want save Power on your Notebook. What's new in this version: Personalize the GameSpace view with your pictures Create custom-sized data images Try more advanced fe
