Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
A PyTorch Library for Meta-learning Research
翻译 - PyTorch研究人员元学习框架
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
This repo contains the source code accompanying a scientific paper with the same name.
#计算机科学#Meta-Transformer for Unified Multimodal Learning
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
Meta-Learning based Noise-Tolerant Training
Meta learning framework with Tensorflow 2.0
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
Code for the paper "Meta-Learning Shared Hierarchies"
Meta Learning for Semi-Supervised Few-Shot Classification
Implementation of Meta-Learning with Latent Embedding Optimization
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Code for the paper "On First-Order Meta-Learning Algorithms"
