meta-learning 开源项目推荐（828 个）

jindongwang /transferlearning

迁移学习/领域适应/领域概括/多任务学习等。论文、代码、数据集、应用程序、教程。-迁移学习

automl /auto-sklearn

Automated Machine Learning with scikit-learn

aiming-lab /MetaClaw

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

MaximeVandegar /Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

learnables /learn2learn

A PyTorch Library for Meta-learning Research

floodsung /Meta-Learning-Papers

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

tristandeleu /pytorch-meta

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

tata1661 /FSL-Mate

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

sicara /easy-few-shot-learning

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

oscarknagg /few-shot

Repository for few-shot learning machine learning projects

floodsung /LearningToCompare_FSL

CVPR 2018论文的PyTorch代码：学习比较：Few-Shot学习的关系网络（Few-Shot学习部分）

RL-VIG /LibFewShot

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

Duan-JM /awesome-papers-fewshot

少样本学习的集合

guan-yuan /Awesome-AutoML-and-Lightweight-Models

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.

google-research /meta-dataset

A dataset of datasets for learning to learn from few examples

omerbsezer /Reinforcement_learning_tutorial_with_demo

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..

EnnengYang /Awesome-Model-Merging-Methods-Theories-Applications

大语言模型（LLM）、多模态大语言模型（MLLM）及更广领域的模型合并：方法、理论、应用与机遇。ACM Computing Surveys，2026。

yaoyao-liu /meta-transfer-learning

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

google-deepmind /disco_rl

Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication

weimingwill /awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.