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conv_diffusion
conv_diffusion
 
 
data
data
 
 
logs
logs
 
 
.gitignore
.gitignore
 
 
10_ActorCritic.ipynb
10_ActorCritic.ipynb
 
 
11_SymbolicRegression.ipynb
11_SymbolicRegression.ipynb
 
 
11_SymbolicRegression_solutions.ipynb
11_SymbolicRegression_solutions.ipynb
 
 
12_MBRL.ipynb
12_MBRL.ipynb
 
 
12_RecurrentNeuralNetworks.ipynb
12_RecurrentNeuralNetworks.ipynb
 
 
12_RecurrentNeuralNetworks_exercise.ipynb
12_RecurrentNeuralNetworks_exercise.ipynb
 
 
12_RecurrentNeuralNetworks_solutions.ipynb
12_RecurrentNeuralNetworks_solutions.ipynb
 
 
1_JAXintro.ipynb
1_JAXintro.ipynb
 
 
1_JAXintro_solutions.ipynb
1_JAXintro_solutions.ipynb
 
 
2405.11401v2.pdf
2405.11401v2.pdf
 
 
2_MDOFsimulator.ipynb
2_MDOFsimulator.ipynb
 
 
2_MDOFsimulator_solutions.ipynb
2_MDOFsimulator_solutions.ipynb
 
 
3_FlaxIntro.ipynb
3_FlaxIntro.ipynb
 
 
3_FlaxIntro_solutions.ipynb
3_FlaxIntro_solutions.ipynb
 
 
4_PINNs.ipynb
4_PINNs.ipynb
 
 
4_PINNs_solutions.ipynb
4_PINNs_solutions.ipynb
 
 
6_GNNforPhysics.ipynb
6_GNNforPhysics.ipynb
 
 
6_GNNforPhysics_assign.ipynb
6_GNNforPhysics_assign.ipynb
 
 
6_IntroGNN.ipynb
6_IntroGNN.ipynb
 
 
6_IntroGNN_solutions.ipynb
6_IntroGNN_solutions.ipynb
 
 
7_IntroRL.ipynb
7_IntroRL.ipynb
 
 
7_IntroRL_solutions.ipynb
7_IntroRL_solutions.ipynb
 
 
8_Qlearning.ipynb
8_Qlearning.ipynb
 
 
8_Qlearning_solutions.ipynb
8_Qlearning_solutions.ipynb
 
 
9_REINFORCE.ipynb
9_REINFORCE.ipynb
 
 
9_REINFORCE_solutions.ipynb
9_REINFORCE_solutions.ipynb
 
 
GNO.ipynb
GNO.ipynb
 
 
Genetic_Program_Tree.png
Genetic_Program_Tree.png
 
 
GridBoard.py
GridBoard.py
 
 
Gridworld.py
Gridworld.py
 
 
Program.docx
Program.docx
 
 
Qlearning_algo.png
Qlearning_algo.png
 
 
README.md
README.md
 
 
RL_process.jpg
RL_process.jpg
 
 
ac_scheme.png
ac_scheme.png
 
 
assignment.ipynb
assignment.ipynb
 
 
ccs.csv
ccs.csv
 
 
environment.yml
environment.yml
 
 
experience_replay_implementation.pdf
experience_replay_implementation.pdf
 
 
gp_schematic.png
gp_schematic.png
 
 
intro_to_graph_nets_tutorial_with_jraph.ipynb
intro_to_graph_nets_tutorial_with_jraph.ipynb
 
 
policy_grad_loss.png
policy_grad_loss.png
 
 
policy_gradient_multiple.png
policy_gradient_multiple.png
 
 
ppo_mountaincar_continuous.zip
ppo_mountaincar_continuous.zip
 
 
reinforce_pseudocode.png
reinforce_pseudocode.png
 
 
sac_dyna_q_model.zip
sac_dyna_q_model.zip
 
 
step4_ac.png
step4_ac.png
 
 
step5_a2c.png
step5_a2c.png
 
 
step5_ac.png
step5_ac.png
 
 

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data_enhanced_simulation

Class materials for the course "Data-Enhanced Simulation for Solids" for the MSc in Mechanical Engineering at Aarhus University.

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Class materials for the course "Data-Enhanced Simulation for Solids" for the MSc in Mechanical Engineering at Aarhus University.

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