There are 9 repositories under learning-to-learn topic.
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
pytorch implementation of Optimization as a Model for Few-shot Learning
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
[NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016
Chrome extension to create tasks based on the spaced repetition concept
Learnig Go with coding exercises
Task Generation Scheme for the Meta-Unsupervised Algorithm