Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
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Jan 8, 2019 - Python
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learning-to-learn
Here are 11 public repositories matching this topic...
Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016
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Jul 4, 2019 - Python
"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
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Nov 5, 2019 - Python
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Apr 13, 2020 - Python
A clean, lightweight and modularized PyTorch meta-learning library.
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Apr 23, 2021 - Python
Learning to Learn: Gradient-free Optimization framework
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Jul 13, 2021 - Python
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
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Dec 30, 2021 - Python
[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
imitation-learning
meta-learning
curriculum-learning
learning-to-learn
training-tricks
self-improving
learning-to-optimize
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Dec 30, 2021 - Python
pytorch implementation of Optimization as a Model for Few-shot Learning
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Dec 26, 2022 - Python
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
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Apr 13, 2023 - Python
Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
reinforcement-learning
optimization
optimizer
reinforcement-learning-algorithms
optimization-algorithms
meta-learning
jax
learning-to-learn
optimizers
meta-learning-algorithms
learning-to-optimize
meta-learning-algorithm
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Aug 6, 2024 - Python
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