Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
- ipython
- jupyter
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Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Variable Inspector extension for Jupyterlab
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Plotly for C++. A C++ interface to the Plotly.js figure spec, for creating interactive data visualizations.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
General Modeling Network Specification
React Library for Audio Equalizers & Filter Visualization
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
General Transit Feed Specification (GTFS) Editing and Analysing Tools
Read and Write General Transit Feed Specification (GTFS)
Demo Project of the DSSSP: React Library for Audio Equalizers & Filter Visualization
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.