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McGill University
- Montréal, Canada
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Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET develo…
An extension of XGBoost to probabilistic modelling
iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two…
From expressive code to powerful GUIs in no time: a fast, feature-rich, cross-platform toolkit for C++ & Python.
Next-gen fast plotting library running on WGPU using the pygfx rendering engine
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
A game theoretic approach to explain the output of any machine learning model.
An extension of LightGBM to probabilistic modelling
The interactive graphing library for Python ✨
Geophysical Inversion and Modeling Library 🌍
An unprofessional open-source Chinese font derived from Fontworks' Klee One. 一款非专业的开源中文字体,基于 FONTWORKS 出品字体 Klee One 衍生。
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
OpenQuake Engine: a software for Seismic Hazard and Risk Analysis
Open3D: A Modern Library for 3D Data Processing
COLMAP - Structure-from-Motion and Multi-View Stereo
A community-maintained Python framework for creating mathematical animations.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A modern, command-line tool to interactively or automatically process LaTeX documents that use the changes package
shiroa is a simple tool for creating modern online books in pure typst.
Probabilistic Estimation of Losses, Injuries, and Community resilience Under Natural hazard events
Colormaps is a library of collection of colormaps or color palettes for Python.
A highly efficient implementation of Gaussian Processes in PyTorch
Sphinx extension for automatic generation of an example gallery
Survival analysis built on top of scikit-learn