4 dépôts
Awesome GitHub RepositoriesMeta Learning Libraries
Software libraries providing primitives and tools for building meta-learning models.
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Awesome Meta Learning Libraries GitHub Repositories
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- google-deepmind/learning-to-learn
google-deepmind/learning-to-learn
4,068Voir sur GitHubThis project is a TensorFlow meta-learning framework and research toolkit designed to implement and train learned optimizers. It provides a library of tools for developing neural networks that learn how to optimize other models, replacing traditional gradient-based optimization algorithms. The framework includes a problem ensemble manager that allows multiple distinct optimization tasks to be combined into a single weighted loss function for simultaneous training. It uses a factory pattern for network instantiation and supports the definition of custom objective functions and loss graphs as t
Provides a toolkit for developing and training neural networks that learn how to optimize other models.
Pythonartificial-intelligencedeep-learningmachine-learning - learnables/learn2learn
learnables/learn2learn
2,886Voir sur GitHubA PyTorch Library for Meta-learning Research
Unified library for meta-learning research and experimentation.
Python - tristandeleu/pytorch-meta
tristandeleu/pytorch-meta
2,058Voir sur GitHubA collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Collection of meta-learning algorithms and datasets for PyTorch.
Python - facebookresearch/higher
facebookresearch/higher
1,627Voir sur GitHubhigher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
PyTorch library for higher-order gradient optimization in meta-learning.
Python
