J-N-ch

cubic_lattices_generator

GMRES_py_restart

Restarted GMRES

gmsh_docker_env

Docker container set for the environment for developing FEM Meshing with python3 and gmsh.

machineLearning

supervised & unsupervised algorithms from Andrew Ng's machine learning class

matplotlib_slider_example

usage examples for the slider in matplotlib

mp4_to_wmv

convert mp4 to wmv using moviepy package

Newton-Basis-GMRES

MPI

RL_MAZE_Policy_Gradient

Simple example of reinforcement learning using the "Policy Gradient" method to solve the optimized path of a maze.

RL_MAZE_Sarsa

Simple example of reinforcement learning using the "Sarsa" method with epsilon-greedy to solve the optimized path of a maze.

J-N-ch/RL_MAZE_Policy_Gradient

Simple example of reinforcement learning using the "Policy Gradient" method to solve the optimized path of a maze.

J-N-ch/GMRES_py_restart

Restarted GMRES

J-N-ch/RL_MAZE_Sarsa

Simple example of reinforcement learning using the "Sarsa" method with epsilon-greedy to solve the optimized path of a maze.

J-N-ch/cubic_lattices_generator

J-N-ch/gmsh_docker_env

Docker container set for the environment for developing FEM Meshing with python3 and gmsh.

J-N-ch/machineLearning

supervised & unsupervised algorithms from Andrew Ng's machine learning class

J-N-ch/matplotlib_slider_example

usage examples for the slider in matplotlib

J-N-ch/mp4_to_wmv

convert mp4 to wmv using moviepy package

J-N-ch/Newton-Basis-GMRES

MPI

J-N-ch/python_pptx_practice

J-N-ch/RL_MAZE

J-N-ch/RL_MAZE_Q-Learning

Solve the optimized path of a maze using Q-Learning of the Reinforcement Learning and epsilon-greedy.