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#

meta-learning

Here are 670 public repositories matching this topic...

transferlearninglearn2learn

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

  • UpdatedNov 26, 2018

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  • UpdatedJul 17, 2023
  • Python
FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

  • UpdatedOct 14, 2025
  • Python

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

  • UpdatedNov 13, 2024
  • Python

Repository for few-shot learning machine learning projects

  • UpdatedNov 25, 2019
  • Python

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

  • UpdatedOct 22, 2019
  • Python

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

  • UpdatedOct 27, 2025
  • Python

Collection for Few-shot Learning

  • UpdatedMay 31, 2023
  • TeX

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

  • UpdatedJun 19, 2021

A dataset of datasets for learning to learn from few examples

  • UpdatedMay 24, 2024
  • Jupyter Notebook

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

  • UpdatedJan 22, 2019
  • Jupyter Notebook
meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  • UpdatedJun 2, 2025
  • Python

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