Projects in Awesome Lists tagged with learning-to-learn
A curated list of projects in awesome lists tagged with learning-to-learn .
https://github.com/floodsung/meta-learning-papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
deep-learning few-shot-learning learning-to-learn meta-learning one-shot-learning
Last synced: 24 Mar 2025
https://github.com/floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
deep-learning few-shot-learning learning-to-learn meta-learning one-shot-learning
Last synced: 15 Mar 2025
https://github.com/vita-group/open-l2o
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
convex-optimization lasso learning-to-learn learning-to-optimize meta-learning neural-networks nonconvex-optimization
Last synced: 09 Apr 2025
https://github.com/markdtw/meta-learning-lstm-pytorch
pytorch implementation of Optimization as a Model for Few-shot Learning
few-shot-learning learning-to-learn meta-learning pytorch
Last synced: 20 Aug 2025
https://github.com/alshedivat/meta-blocks
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
api benchmark deep-learning learning-to-learn meta-learning python tensorflow toolbox
Last synced: 06 Oct 2025
https://github.com/igitugraz/l2l
Learning to Learn: Gradient-free Optimization framework
ai l2l learning-to-learn machine-learning optimization optimization-algorithms
Last synced: 14 Apr 2025
https://github.com/IGITUGraz/L2L
Learning to Learn: Gradient-free Optimization framework
ai l2l learning-to-learn machine-learning optimization optimization-algorithms
Last synced: 01 May 2025
https://github.com/VITA-Group/L2-GCN
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
efficient-training gcn graph-convolutional-networks learning-to-learn
Last synced: 21 Jul 2025
https://github.com/vita-group/l2-gcn
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
efficient-training gcn graph-convolutional-networks learning-to-learn
Last synced: 19 Apr 2025
https://github.com/sail-sg/optim4rl
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
jax learning-to-learn learning-to-optimize meta-learning meta-learning-algorithm meta-learning-algorithms optimization optimization-algorithms optimizer optimizers reinforcement-learning reinforcement-learning-algorithms
Last synced: 07 Jul 2025
https://github.com/vita-group/l2o-training-techniques
[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
curriculum-learning imitation-learning learning-to-learn learning-to-optimize meta-learning self-improving training-tricks
Last synced: 19 Apr 2025
https://github.com/rfeinman/learning-to-learn
Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
cognitive-science inductive-biases learning-to-learn machine-learning neural-networks
Last synced: 20 Mar 2025
https://github.com/renovamen/metallic
A clean, lightweight and modularized PyTorch meta-learning library.
few-shot-learning learning-to-learn maml meta-learning pytorch reptile
Last synced: 27 Jul 2025
https://github.com/soskek/learning_to_learn
Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016
chainer deep-learning learning-to-learn machine-learning neural-networks
Last synced: 15 Apr 2025
