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Learn2learn ⭐ 2,283

A PyTorch Library for Meta-learning Research

Meta Dataset ⭐ 679

A dataset of datasets for learning to learn from few examples

Few Shot ⭐ 520

Repository for few-shot learning machine learning projects

Few_shot_meta_learning ⭐ 148

Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch

Cross Accent Maml Asr ⭐ 42

Meta-learning model agnostic (MAML) implementation for cross-accented ASR

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference

Unicorn Maml ⭐ 32

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Hierarchical Meta Reinforcement Learning ⭐ 19

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Code for meta-learning initializations for image segmentation

Maml Tensorflow ⭐ 17

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Maml_numpy ⭐ 6

Implementation of MAML in numpy

Few Shot Regression Meta Learning ⭐ 6

Few Shot Regression of Periodic and Basic Polynomial Functions using MAML and Reptile Method

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