Sang Hun Kim

AI/Optimization/Scheduling/Etc

Study Log (2020.04)

4 minute read

2020-04-30

  • S-K RL
    • train_FT10_ppo_node_only.py
      • pyjssp > benchmarks.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • src > node_only_agents.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Error Analysis
      • Mismatched Training and Dev/Test set

2020-04-29

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • 팡요랩
  • Stanford Spring 2020
    • CS230
      • Comparing to human-level performance
      • Machine Learning flight simulator

2020-04-28

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Introduction to ML Strategy
      • Setting up your goal

2020-04-27

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-26

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Hyperparameter tuning
      • Batch Normalization
      • Multi-class classification
      • Introduction to programming frameworks
      • Practice Questions
      • Programming assignments

2020-04-25

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Optimization algorithms
      • Practice Questions
      • Programming assignments

2020-04-24

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Setting up your optimization problem
      • Practice Questions
      • Programming assignments

2020-04-23

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Setting up your Machine Learning Application
      • Regularizing your neural network

2020-04-22

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Deep Neural Networks
      • Practice Questions
      • Programming Assignments

2020-04-21

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Deep Neural Networks

2020-04-20

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Shallow Neural Network
      • Practice Questions
      • Programming Assignments

2020-04-19

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS230
      • Python and Vectorization
      • Practice Questions
      • Programming Assignments

2020-04-18

  • Stanford Spring 2020
    • CS230
      • Welcome to the Deep Learning Specialization
      • Introduction to Deep Learning
      • Practice Questions
      • Logistic Regression as a Neural Network

2020-04-17

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py
  • Stanford Spring 2020
    • CS229
      • Lecture #1

2020-04-15

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-14

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-13

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-12

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-10

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-09

  • S-K RL
    • sequential_simulation_test.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src > nn.py

2020-04-08

  • S-K RL
    • sequential_simulation_test.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src > nn.py

2020-04-07

  • S-K RL
    • sequential_simulation_test.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src > nn.py

2020-04-06

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py
      • src/training_utils.py
      • src/utils.py
      • torch_geometric > data.py
      • torch_geometric > dataloader.py
      • torch > sampler.py
      • src > nn.py

2020-04-05

  • S-K RL
    • sequential_simulation_test.py
      • pyjssp > simulators.py
      • pyjssp > jobShopSamplers.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/agents.py
      • src/rl_networks.py
      • torch > linear.py

2020-04-03

  • S-K RL
    • sequential_simulation_test.py
      • src/utils.py
      • src/training_utils.py
      • pyjssp > simulators.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/rl_networks.py

2020-04-02

  • S-K RL
    • sequential_simulation_test.py
      • src/utils.py
      • src/training_utils.py
      • pyjssp > simulators.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/rl_networks.py

2020-04-01

  • S-K RL
    • sequential_simulation_test.py
      • src/utils.py
      • src/training_utils.py
      • pyjssp > simulators.py
      • pyjssp > operationHelpers.py
      • pyjssp > machineHelpers.py
      • src/rl_networks.py

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