Fondry's repositories
curso_Cementos_Molins
Curso introducción al análisis de datos e inteligencia artificial
do-mpc
Model predictive control python toolbox
Ejemplo-optim-workforce
Code of blog posts
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
lecture-notebooks-2022
Notebooks of an optimal control course in the Carnegie Mellon university.
MLCE_book
Hands-on material for a Machine Learning in Chemical Engineering course
padasip
Python Adaptive Signal Processing
pde-Solver-Course
Introduction to declarative PDE solvers
PyAdvancedControl
Python codes for advanced control
recitations
Recitations of an optimal control course in the Carnegi Mellon University
spinningup
An educational resource to help anyone learn deep reinforcement learning.
ternplot
Plot ternary diagrams in Matlab
the-algorithm
Source code for Twitter's Recommendation Algorithm
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm