Study Log (2020.05)

2 minute read

2020-05-31

  • 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

2020-05-29

  • Stanford Spring 2020
    • CS230
      • Introduction to Word Embeddings

2020-05-28

  • Stanford Spring 2020
    • CS230
      • Programming assignments

2020-05-27

  • Stanford Spring 2020
    • CS230
      • Practice questions
      • Programming assignments

2020-05-26

  • Stanford Spring 2020
    • CS230
      • Recurrent Neural Networks

2020-05-25


2020-05-24


2020-05-23


2020-05-22

  • S-K RL
    • train_FT10_ppo_node_only.py
      • wandb 라이브러리 추가 및 테스트

2020-05-21

  • Stanford Spring 2020
    • CS230
      • Face Recognition
      • Neural Style Transfer
      • Practice questions
      • Programming assignments

2020-05-20

  • Stanford Spring 2020
    • CS230
      • Detection algorithms
      • Practice questions
      • Programming assignments

2020-05-16

  • 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

2020-05-15

  • 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
      • Practice questions
      • Programming assignments

2020-05-14

  • 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
      • Practical advices for using ConvNets

2020-05-13

  • 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
      • Case studies

2020-05-12

  • 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
      • Practice questions
      • Programming assignments

2020-05-11

  • 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
      • Convolutional Neural Networks

2020-05-10

  • 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
      • Convolutional Neural Networks

2020-05-03

  • 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
  • 팡요랩
  • Stanford Spring 2020
    • CS230
      • Learning from multiple tasks
      • End-to-end deep learning
      • Machine Learning flight simulator

2020-05-02

  • 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
      • Mismatched Training and Dev/Test set

2020-05-01

  • 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

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