Easy to use test framework for Jupyter Notebooks
- jupyter-notebooks
- unittest
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Easy to use test framework for Jupyter Notebooks
A Cytoscape Jupyter widget
Easily bring your Python applications online with the world's lightest GUI toolkit.
Python game programming in Jupyter notebooks.
Jupyter Notebooks as plain Python code with embedded Markdown text
Deep and Machine Learning for Microscopy
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Render Jupyter notebook in the terminal
Research tooling for MW4 on-demand texture streaming: loopback proxy, hosts manager, resumable mirror, control GUI. Code and notes only - no game files.
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
Practice Python with colored grids in the IPython Notebook
The power of Chart.js with Python
A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.
High performance, editable, stylable datagrids in jupyter and jupyterlab
Tools to use a collection of notebooks as 'chapters'
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
Jupyter kernel for Coq
Automatically version jupyter notebooks in JupyterLab
Magic to display dynamic call graphs of Python function calls
A jupyterlab extension to email notebooks directly from JupyterLab.
Gaussian processes and Bayesian optimization for images and hyperspectral data
Collect your thoughts and notes without leaving the command line.
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.