Lists (13)
Bifurcation
Learning DE
Various working code to learn Differential Equations from data - simulation data, experimental data etc.Machine Learning Mathematics
ML-Fun
Patten Research
Reviewed
Software that I review for JOSS, and maybe other journals.Simulators
Special Interests
Libraries that I would like to contribute too, for e.g.Stars
Set of 3D functions to manipulate and create 3d vectors and 3d points. Applicable to pointclouds.
18.335 - Introduction to Numerical Methods course
An extensive math library for JavaScript and Node.js
Yet another attempt at trying to write a numerical continuation package in the style of COCO
Support for rational bases in ApproxFun
A generic and fast solver of mode-coupling theory-like integrodifferential equations
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
epspebble / TDA.jl
Forked from wildart/TDA.jlA Julia package for topological data analysis
Generate 3D objects conditioned on text or images
Simple JupyterHub distribution for 1-100 users on a single server
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Create and modify Word documents with Python
Flexible and efficient persistent homology computation.
Notes on Diffy Qs (differential equations) WeBWorK (online homework) problem set
Code for the paper "Jukebox: A Generative Model for Music"
Stable diffusion for real-time music generation
A simple notebook demonstrating prompt-based music generation via Mubert API
Code for "Learning differential equation models from\\ stochastic agent-based model simulations" by John Nardini, Ruth Baker, Mat Simpson, and Kevin Flores
A playbook for systematically maximizing the performance of deep learning models.
A community-maintained Python framework for creating mathematical animations.