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Uppsala University
- Sweden
- https://aribeiro.se
- @ahortaribeiro
- in/antonior92
Stars
PhysioNet Challenge 2024 Winner: Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
Reservoir computing utilities for scientific machine learning (SciML)
A Python Package For System Identification Using NARMAX Models
Statistical plotting recipes for Plots.jl
📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
Tools for diffing and merging of Jupyter notebooks.
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Bayesian Modeling and Probabilistic Programming in Python
A bunch of helper functions for transferring data between worker processes
Interactive data visualizations and plotting in Julia
Convert julia objects to LaTeX equations, arrays or other environments.
Base package for defining transformation recipes on user types for Plots.jl
Automatically update function definitions in a running Julia session
scikit-learn: machine learning in Python
Powerful convenience for Julia visualizations and data analysis
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…