Starred repositories
Solutions to exercises in the book *Learn Physics with Functional Programming*
The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film`
Simple stochastic partial differential equation (SPDE) solver, for educational purposes
Python codes for Introduction to Computational Stochastic PDE
Parallelizing DRL for Active Flow control
Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.
code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
A python code to calculate planetary orbits in a three-body gravitational system. The code can demonstrate how one planet affects the orbit of another planet. As an example, Earth, Jupiter, Sun sys…
Python module for numerical orbit calculation in CRTBP and beyond
Small library to assist with examining trajectories in the Circular Restricted 3 Body Problem
Astrodynamics with Python book, software, and videos. Spacecraft trajectory and attitude modeling and simulation
CS221 Project - Reinforcement Learning (RL) in Atari 2600 Skiing game environment.
ChatGPT Complete Guide is a curated list of sites and tools on ChatGPT, GPT, and large language models (LLMs)
A quantum reinforcement learning framework based on PyTorch and PennyLane.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Hybrid Quantum-Classical Machine Learning in TensorFlow
Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.
GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project
Quantum control algorithms for multiple examples based on the package Qutip
Reinforcement learning model-free quantum control on many coupled qubits.
Autonomous atom manipulation - in this project, we use deep reinforcement learning algorithms including soft actor-critic, hindsight experience replay, and emphasize recent experience replay to aut…