Showing 18 of 126 projects
A collection of academic papers and code implementations for quantitative trading strategies.
A Docker-based starter kit providing pre-configured Jupyter notebook environments for machine learning with TensorFlow, PyTorch, and essential libraries.
A collection of IPython notebooks demonstrating EEG and MEG data processing workflows using mne-python.
A collection of open-source LaTeX cheatsheets and resources for teaching network science concepts across disciplines.
Example notebooks for analyzing web archives using the Archives Unleashed Toolkit.
Interactive lecture notes on probabilistic topic models using Jupyter notebooks, covering LDA, Dirichlet processes, and inference methods.
A Jupyter Notebook extension for managing and optimizing Python dependencies directly within notebooks.
A Jupyter notebook extension for creating Wardley Maps using a simple cell magic syntax.
A software toolkit for blackbox testing of smart contracts written in TEAL for the Algorand blockchain.
A command-line tool to search and manage Jupyter notebook files (.ipynb) from bash.
A Python library for data acquisition from I2C sensors on Raspberry Pi and MicroPython platforms.
Text and supporting code for Think Stats, 2nd Edition, a practical introduction to statistics for programmers.
Undergraduate lecture notes in network science with custom CSS and live-coding notebooks via Google Colab.
A Python library for comprehensive machine learning model evaluation with plots, reports, experiment tracking, and notebook analysis.
A pygame-compatible API for creating interactive games and graphics in Jupyter notebooks using ipycanvas rendering.
A general-purpose U-Net implementation in Keras for image segmentation tasks.
A Python package for teaching computational methods through art history by analyzing artist works from WikiArt with comprehensive color analysis.
An intuitive Rust library for learning elliptic curve cryptography through interactive tutorials.
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