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Title: GitHub - humaolin/Hands-On-Meta-Learning-With-Python: Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow · GitHub

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Description: Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow - humaolin/Hands-On-Meta-Learning-With-Python

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18 Commitshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/commits/master/
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python/commits/master/
01. Introduction to Meta Learninghttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/01.%20Introduction%20to%20Meta%20Learning
01. Introduction to Meta Learninghttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/01.%20Introduction%20to%20Meta%20Learning
02. Face and Audio Recognition using Siamese Networkshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks
02. Face and Audio Recognition using Siamese Networkshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks
03. Prototypical Networks and its Variantshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/03.%20Prototypical%20Networks%20and%20its%20Variants
03. Prototypical Networks and its Variantshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/03.%20Prototypical%20Networks%20and%20its%20Variants
04. Relation and Matching Networks Using Tensorflowhttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow
04. Relation and Matching Networks Using Tensorflowhttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow
05. Memory Augmented Networkshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/05.%20Memory%20Augmented%20Networks
05. Memory Augmented Networkshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/05.%20Memory%20Augmented%20Networks
06. MAML and it's Variantshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/06.%20MAML%20and%20it's%20Variants
06. MAML and it's Variantshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/06.%20MAML%20and%20it's%20Variants
07. Meta-SGD and Reptile Algorithmshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms
07. Meta-SGD and Reptile Algorithmshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms
08. Gradient Agreement As An Optimization Objectivehttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective
08. Gradient Agreement As An Optimization Objectivehttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective
09. Recent Advancements and Next Stepshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/09.%20Recent%20Advancements%20and%20Next%20Steps
09. Recent Advancements and Next Stepshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/09.%20Recent%20Advancements%20and%20Next%20Steps
Imageshttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/tree/master/Images
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README.mdhttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/blob/master/README.md
README.mdhttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python/blob/master/README.md
READMEhttps://github.com/humaolin/Hands-On-Meta-Learning-With-Python
Hands-On Meta Learning With Pythonhttps://www.amazon.com/Hands-Meta-Learning-Python-algorithms-ebook/dp/B07KJJHYKF/ref=sr_1_1?ie=UTF8&qid=1543222179&sr=8-1&keywords=meta+learning+hands+on
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#hands-on-meta-learning-with-python
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https://www.packtpub.com/big-data-and-business-intelligence/hands-meta-learning-python
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https://play.google.com/store/books/details/Sudharsan_Ravichandiran_Hands_On_Meta_Learning_wit?id=yx2CDwAAQBAJ
https://github.com/sudharsan13296/Awesome-Meta-Learning
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#awesome-meta-learning--
here.https://github.com/sudharsan13296/Awesome-Meta-Learning
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#table-of-contents
1. Introduction to Meta Learninghttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/01.%20Introduction%20to%20Meta%20Learning
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#1-introduction-to-meta-learning
1.1. What is Meta Learning?https://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/01.%20Introduction%20to%20Meta%20Learning/1.1%20What%20is%20Meta%20Learning.ipynb
2. Face and Audio Recognition using Siamese Networkhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#2-face-and-audio-recognition-using-siamese-network
2.1. What are Siamese Networks?https://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks/2.1.%20What%20are%20Siamese%20Networks%3F.ipynb
2.4. Face Recognition Using Siamese Networkshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks/2.4%20Face%20Recognition%20Using%20Siamese%20Network.ipynb
2.5. Audio Recognition Using Siamese Networkshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/02.%20Face%20and%20Audio%20Recognition%20using%20Siamese%20Networks/2.5%20Audio%20Recognition%20using%20Siamese%20Network.ipynb
3. Prototypical Network and its variantshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/03.%20Prototypical%20Networks%20and%20its%20Variants
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#3-prototypical-network-and-its-variants
3.1. Prototypical Networkhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/03.%20Prototypical%20Networks%20and%20its%20Variants/3.1%20Prototypical%20Networks.ipynb
3.3. Omniglot character set classification using prototypical networkhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/03.%20Prototypical%20Networks%20and%20its%20Variants/3.3%20Omniglot%20Character%20set%20classification%20using%20Prototypical%20Network.ipynb
4. Relation and Matching Networks Using Tensorflowhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#4-relation-and-matching-networks-using-tensorflow
4.2. Relation Networks in One-Shot Learninghttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.2%20Relation%20Networks%20in%20One-Shot%20Learning.ipynb
4.5. Building Relation Networks using Tensorflowhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.5%20Building%20Relation%20Network%20Using%20Tensorflow.ipynb
4.6. Matching Networkshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.6%20Matching%20Networks.ipynb
4.9. Matching Networks in Tensorflowhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/04.%20Relation%20and%20Matching%20Networks%20Using%20Tensorflow/4.9%20Matching%20Networks%20Using%20Tensorflow.ipynb
5. Memory Augmented Networkshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/05.%20Memory%20Augmented%20Networks
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#5-memory-augmented-networks
5.1. Neural Turing Machinehttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/05.%20Memory%20Augmented%20Networks/5.1%20Neural%20Turing%20Machine.ipynb
5.4. Copy Task using NTMhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/05.%20Memory%20Augmented%20Networks/5.4%20Copy%20Task%20Using%20NTM.ipynb
5.7. Building MANN in Tensorflowhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/05.%20Memory%20Augmented%20Networks/5.7%20Building%20MANN%20in%20Tensorflow%20.ipynb
6. MAML and its variantshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/06.%20MAML%20and%20it's%20Variants
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#6-maml-and-its-variants
6.1. Model Agnostic Meta Learninghttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.1%20Model%20Agnostic%20Meta%20Learning.ipynb
6.2. MAML Algorithmhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.2%20MAML%20ALgorithm.ipynb
6.3. MAML in Supervised Learninghttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.3%20MAML%20in%20Supervised%20Learning.ipynb
6.5. Building MAML from Scratchhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.5%20Building%20MAML%20From%20Scratch.ipynb
6.7. Building ADML from Scratchhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/06.%20MAML%20and%20it's%20Variants/6.7%20Building%20ADML%20From%20Scratch.ipynb
7. Meta-SGD and Reptile ALgorithmshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#7-meta-sgd-and-reptile-algorithms
7.1. Meta-SGDhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.1%20Meta-SGD.ipynb
7.4. Building Meta-SGD from Scratchhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.4%20Building%20Meta-SGD%20from%20Scratch.ipynb
7.7. Sine Wave Regression Using Reptilehttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/07.%20Meta-SGD%20and%20Reptile%20Algorithms/7.7%20Sine%20wave%20Regression%20Using%20Reptile.ipynb
8. Gradient Agreement as an Optimization Objectivehttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#8-gradient-agreement-as-an-optimization-objective
8.1. Gradient Agreementhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective/8.1%20Gradient%20Agreement%20as%20an%20Optimization.ipynb
8.4. Building Gradient Agreement with MAML from scratchhttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/08.%20Gradient%20Agreement%20As%20An%20Optimization%20Objective/8.4%20Building%20Gradient%20Agreement%20Algorithm%20with%20MAML.ipynb
9. Recent Advancements and Next Stepshttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/tree/master/09.%20Recent%20Advancements%20and%20Next%20Steps
https://github.com/humaolin/Hands-On-Meta-Learning-With-Python#9-recent-advancements-and-next-steps
9.3. Meta Imitation Learninghttps://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python/blob/master/09.%20Recent%20Advancements%20and%20Next%20Steps/9.3%20Meta%20Imitation%20Learning.ipynb
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