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learning-to-learn

Here are 19 public repositories matching this topic...

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  • UpdatedNov 26, 2018

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

  • UpdatedJun 9, 2023
  • C++

pytorch implementation of Optimization as a Model for Few-shot Learning

  • UpdatedDec 26, 2022
  • Python

Personalizing Dialogue Agents via Meta-Learning

  • UpdatedJul 25, 2024
  • Jupyter Notebook
meta-blocks

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

  • UpdatedApr 13, 2023
  • Python

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

  • UpdatedNov 5, 2019
  • Python

Learning to Learn: Gradient-free Optimization framework

  • UpdatedJul 13, 2021
  • Python

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

  • UpdatedDec 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

  • UpdatedDec 30, 2021
  • Python

Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).

  • UpdatedJan 8, 2019
  • Python

A clean, lightweight and modularized PyTorch meta-learning library.

  • UpdatedApr 23, 2021
  • Python

Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016

  • UpdatedJul 4, 2019
  • Python

Chrome extension to create tasks based on the spaced repetition concept

  • UpdatedJan 7, 2021
  • JavaScript

Single-Agent Reinforcement Learning for Global Optimization.

  • UpdatedMay 28, 2025
  • Python

Learnig Go with coding exercises

  • UpdatedFeb 17, 2020
  • Go

AI that monitors and improves its own learning process through self-reflection and meta-learning.

  • UpdatedNov 3, 2025
  • Python

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