https://github.com/choidae1/meta-learning-study

Repo for learning 「모두를 위한 메타러닝」(위키북스)
https://github.com/choidae1/meta-learning-study

meta-learning pytorch-implementation reinforcement-learning

Last synced: 2 months ago
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Repo for learning 「모두를 위한 메타러닝」(위키북스)

• Host: GitHub
• URL: https://github.com/choidae1/meta-learning-study
• Owner: ChoiDae1
• License: apache-2.0
• Created: 2023-01-04T06:22:55.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-13T07:45:46.000Z (over 2 years ago)
• Last Synced: 2025-01-17T12:17:28.848Z (4 months ago)
• Topics: meta-learning, pytorch-implementation, reinforcement-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 1.74 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# 모두를 위한 메타러닝: PyTorch를 활용한 Few-shot 학습 모델과 빠른 강화학습 에이전트 만들기

"모두를 위한 메타러닝" 책을 읽으면서 실습을 진행한 코드 레포지토리입니다.

[원본 저장소](https://github.com/dongminlee94/meta-learning-for-everyone)

0. Load-dataset code


- [Omniglot](https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/load_dataset/load_omniglot_my.ipynb)

- [Sinusoid](https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/load_dataset/load_sinusoid_my.ipynb)

- [Half-Cheetah](https://github.com/ChoiDae1/Meta-learning-Study/tree/main/src/meta_rl/envs)

1. Meta-Supervised-learning code


- model-based 

(1) [MANN](https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/model-based/mann_my.ipynb)   (2) [SNAIL](https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/model-based/snail_my.ipynb)

- optimization-based

(1) [MAML-Regression](https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/opt-based/maml_regression_my.ipynb)  (2) [MAML-Classification](

https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/opt-based/maml_classification_my.ipynb)

- metric-based

(1) [MachingNet](https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/metric-based/matching_network_my.ipynb)  (2) [PrototypicalNet](

https://github.com/ChoiDae1/Meta-learning-Study/blob/main/src/meta_sl/metric-based/prototypical_network_my.ipynb)

2. Meta-Reinforce-learning code


- recurrent-policies-based 

(1) [RL^2](https://github.com/ChoiDae1/Meta-learning-Study/tree/main/src/meta_rl/rl2)   

- optimization-based

(1) [MAML-RL](https://github.com/ChoiDae1/Meta-learning-Study/tree/main/src/meta_rl/maml)  

- context-based

(1) [PEARL](https://github.com/ChoiDae1/Meta-learning-Study/tree/main/src/meta_rl/pearl)