Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Code for PointerSQL, PT-MAML, Execution-guided Decoding papers
meta learning from the initializaion induced by word embedding
