maml topic
CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
memory-efficient-maml
Memory efficient MAML using gradient checkpointing
few-shot
Repository for few-shot learning machine learning projects
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
meta-dataset
A dataset of datasets for learning to learn from few examples
PAML
Personalizing Dialogue Agents via Meta-Learning
learn2learn
A PyTorch Library for Meta-learning Research
MetaHIN
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
few_shot_meta_learning
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.