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bap

Bayesian Analysis with Python (Second Edition)

bayesian-optimization-examples

Bayesian Optimization examples

calcolo_mutuo

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

doepy

Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

drbayes

Code Repo for "Subspace Inference for Bayesian Deep Learning"

dynonet

"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

ecg

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

efficient-calibration-embedded-mpc

Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

extension-cpp

C++ extensions in PyTorch

forgi86.github.io

glis

GLIS package

gpyopt

Gaussian Process Optimization using GPy

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gym-control

A collection of control theory enviroments compatible with the gym toolkit

jax-ident

An experimental code base for system identification with Jax.

libfranka

C++ library for Franka Emika research robots

linear-kernel-ident

lru-reduction

Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach

mixture-density-network

Mixture density network implemented in PyTorch.

multilevel-excitation

Codes accompanying the paper "Experiment design for parameter estimation in nonlinear systems based on multilevel excitation"

osqp

The Operator Splitting QP Solver

osqp-python

Python interface for OSQP

pycontrolsandbox

Systems & Control experiments in Python

pydlsandbox

pympc

A Model Predictive Control (MPC) Python library based on the OSQP solver.

python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

python-data-science-slides

An introduction to data processing & visualization with numpy, pandas, matplotlib, and plotly express