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Stanford University
- https://web.stanford.edu/~degleris/
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A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
PyPSA-USA: An Open-Source Energy System Optimization Model for the United States
A Julia package for disciplined convex programming
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
Symbolic expressions, rewriting and simplification
Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
"Distributions" that might not add to one.
Benchmarks for the Optimal Power Flow Problem
Generic abstract algebra functionality in pure Julia (no C dependencies)
Differentiating convex optimization programs w.r.t. program parameters
An interface to pass matrix form problems
Fast samplers for Neyman-Scott processes.
The Markdown-based note-taking app that doesn't suck.
Bayesian learning and inference for state space models
This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App
Nimfa: Nonnegative matrix factorization in Python