Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
https://github.com/sudharsan13296/Awesome-Meta-Learning
Last synced: about 17 hours ago
JSON representation
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[Papers and Code]()
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[Zero-Shot / One-Shot / Few-Shot / Low-Shot Learning]()
- [pdf - TensorFlow)
- [pdf - simple-ZSL)
- [pdf - On-Meta-Learning-With-Python/blob/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks/2.4%20Face%20Recognition%20Using%20Siamese%20Network.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/03.%20Prototypical%20Networks%20and%20its%20Variants/3.3%20Omniglot%20Character%20set%20classification%20using%20Prototypical%20Network.ipynb)
- [pdf - prototypical-networks)
- [pdf - On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.9%20Matching%20Networks%20Using%20Tensorflow.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.5%20Building%20Relation%20Network%20Using%20Tensorflow.ipynb)
- [pdf - shot-mann)
- [pdf - shot-shrink-hallucinate)
- [pdf - shot-with-diffusion)
- [pdf - weights)
- [pdf - On-Meta-Learning-With-Python/blob/master/03.%20Prototypical%20Networks%20and%20its%20Variants/3.3%20Omniglot%20Character%20set%20classification%20using%20Prototypical%20Network.ipynb)
- [pdf - prototypical-networks)
- [pdf - On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.9%20Matching%20Networks%20Using%20Tensorflow.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.5%20Building%20Relation%20Network%20Using%20Tensorflow.ipynb)
- [pdf - shot-mann)
- [pdf - shot-shrink-hallucinate)
- [pdf - shot-with-diffusion)
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[Model Agnostic Meta Learning]()
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[Meta Reinforcement Learning]()
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[Zero-Shot / One-Shot / Few-Shot / Low-Shot Learning]()
- [pdf - On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.5%20Building%20MAML%20From%20Scratch.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.7%20Building%20ADML%20From%20Scratch.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.7%20Sine%20wave%20Regression%20Using%20Reptile.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.4%20Building%20Meta-SGD%20from%20Scratch.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective/8.4%20Building%20Gradient%20Agreement%20Algorithm%20with%20MAML.ipynb)
- [pdf - net)
- [pdf - pytorch)
- [pdf - to-learn)
- [pdf - maml)
- [pdf - siyuan-qiao/FewShot-CVPR)
- [pdf - On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.5%20Building%20MAML%20From%20Scratch.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.7%20Building%20ADML%20From%20Scratch.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.7%20Sine%20wave%20Regression%20Using%20Reptile.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.4%20Building%20Meta-SGD%20from%20Scratch.ipynb)
- [pdf - On-Meta-Learning-With-Python/blob/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective/8.4%20Building%20Gradient%20Agreement%20Algorithm%20with%20MAML.ipynb)
- [pdf - net)
- [pdf - pytorch)
- [pdf - to-learn)
- [pdf - maml)
- [pdf - siyuan-qiao/FewShot-CVPR)
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[Books]()
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[Meta Reinforcement Learning]()
- [pdf - On-Meta-Learning-With-Python)
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Blogs
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[Meta Reinforcement Learning]()
- Berkeley Artificial Intelligence Research blog
- Meta-Learning: Learning to Learn Fast
- Meta-Reinforcement Learning
- How to train your MAML: A step by step approach
- An Introduction to Meta-Learning
- From zero to research — An introduction to Meta-learning
- Meta Reinforcement Learning Blog by Lilian Weng
- What’s New in Deep Learning Research: Understanding Meta-Learning
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Lecture Videos
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[Meta Reinforcement Learning]()
- Stanford CS330: Multi-Task and Meta-Learning, 2019 by Chelsea Finn
- Meta Learning lecture by Soheil Feizi
- Chelsea Finn: Building Unsupervised Versatile Agents with Meta-Learning
- Sam Ritter: Meta-Learning to Make Smart Inferences from Small Data
- Model Agnostic Meta Learning by Siavash Khodadadeh
- Meta Learning by Siraj Raval
- Meta Learning by Hugo Larochelle
- Meta Learning and One-Shot Learning
- Stanford CS330: Multi-Task and Meta-Learning, 2019 by Chelsea Finn
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Datasets
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[Meta Reinforcement Learning]()
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Workshops
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[Meta Reinforcement Learning]()
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Researchers
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[Meta Reinforcement Learning]()
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