A PyTorch Library for Meta-learning Research
Repository for few-shot learning machine learning projects
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and m...
A dataset of datasets for learning to learn from few examples
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that fai...
Personalizing Dialogue Agents via Meta-Learning
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Informati...
Meta learning with BERT as a learner
Memory efficient MAML using gradient checkpointing
TensorFlow 2.0 implementation of MAML.
Tools for building raster processing and display services
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperpar...
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re...
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
This repository contains the implementation for the paper - Exploration ...