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A PyTorch library for meta-learning research, enabling few-shot, fine-tuning, and other advanced ML techniques.
A Python library for meta-learning that enables fast adaptation of deep neural networks.
Elegant PyTorch implementation of the Model-Agnostic Meta-Learning (MAML) paper for AI/ML developers.
A repository for few-shot learning machine learning projects, focused on meta-learning and PyTorch.
A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.
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