Official code of XB-MAML implemented in pytorch

NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

Meta Learning implementations via PyTorch (without any other frameworks)

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

A PyTorch Library for Meta-learning Research

Batch-aware online task creation for meta-learning.

Implementation of Meta Learning Methods via Torchmeta framework

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

A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017

Meta Learning for Novel Image Captioning

Masked Authenticated Messaging Lite in Python

Model-agnostic meta-learning (MAML) for few-shot dialogue state tracking (DST) based on TRADE.

MetaVAE Implementation in Pytorch

MAML implementation in PyTorch.

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

Implementation of Meta Learning Algorithm

Codebase for SG-MRL (On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning)

Non-Euclidean implementations for few-shot image classification on the mini-ImageNet dataset

Clean implementation of "Model-Agnostic Meta-Learning" in PyTorch using Facebook's Higher.