maml
There are 85 repositories under maml topic.
learnables/learn2learn
A PyTorch Library for Meta-learning Research
oscarknagg/few-shot
Repository for few-shot learning machine learning projects
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
cnguyen10/few_shot_meta_learning
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
shirleyzhu233/PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
HLTCHKUST/PAML
Personalizing Dialogue Agents via Meta-Learning
rootlu/MetaHIN
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
mailong25/meta-learning-bert
Meta learning with BERT as a learner
dongminlee94/meta-learning-for-everyone
"모두를 위한 메타러닝" 책에 대한 코드 저장소
dbaranchuk/memory-efficient-maml
Memory efficient MAML using gradient checkpointing
hereismari/tensorflow-maml
TensorFlow 2.0 implementation of MAML.
geotrellis/geotrellis-server
Tools for building raster processing and display services
baiksung/ALFA
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
bismex/MetaBIN
[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification
baiksung/MeTAL
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
sungyubkim/GBML
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
navneet-nmk/Hierarchical-Meta-Reinforcement-Learning
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
tanyuqian/redco
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
audioku/cross-accent-maml-asr
Meta-learning model agnostic (MAML) implementation for cross-accented ASR
Luvata/CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
Han-Jia/UNICORN-MAML
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
IoBT-VISTEC/MetaSleepLearner
Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatics)
baiksung/L2F
Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"
TroddenSpade/Meta-Reinforcement-Learning
Code snippets of Meta Reinforcement Learning algorithms
ml4ai/mliis
Code for meta-learning initializations for image segmentation
vkverma01/meta-gzsl
Meta-Learning for Generalized Zero-Shot Learning
schneimo/maml-rl-tf2
Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.
Deepest-Project/meta-learning-study
Deepest Season 6 Meta-Learning study papers plus alpha
Tikquuss/meta_XLM
Cross-lingual Language Model (XLM) pretraining and Model-Agnostic Meta-Learning (MAML) for fast adaptation of deep networks
gcucurull/maml_flax
Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.
JosephKJ/PyTorch-MAML-and-Reptile
MAML and Reptile sine wave regression example in PyTorch
hiwonjoon/maml-tensorflow
This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
matwilso/maml_numpy
Implementation of MAML in numpy, deriving gradients and implementing backprop manually
Kostis-S-Z/exploring_meta
Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)
abhilashreddys/FSCIL-GFR
Official Code for the paper Few-Shot Class Incremental Learning with Generative Feature Replay