sudharsan13296/Hands-On-Meta-Learning-With-Python resource

Health v2 · maintenance only

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1228 stars · 359 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter Notebook companion repository for the book 'Hands-On Meta Learning with Python', implementing meta-learning algorithms like MAML, Reptile, Meta-SGD, and one-shot learning networks in TensorFlow and Keras. It serves as educational material for learning-to-learn techniques in deep learning.

Use cases

• learn meta learning algorithms with python
• implement MAML from scratch
• understand one-shot and few-shot learning
• study prototypical networks and siamese networks
• hands-on tutorial for learning to learn
• implement reptile and meta-SGD in tensorflow

When to choose

• you want to learn meta-learning concepts through runnable code
• you are reading the companion book and want implementations
• you need educational notebooks on few-shot learning algorithms

When to avoid

• you need a production-ready meta-learning library
• you require an actively maintained project with a license
• you want the latest research implementations beyond the book's scope

Facets

learning-resource · maturity maintenance

machine-learning deep-learning reinforcement-learning machine-learning deep-learning tutorials python meta-learning few-shot-learning one-shot-learning maml reptile tensorflow keras jupyter-notebook book-companion

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