metalearning

There are 15 repositories under metalearning topic.

automl / auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Language:Python 7640
learn2learn
learnables / learn2learn
A PyTorch Library for Meta-learning Research
few-shot finetuning learn2learn learning2learn maml meta-descent meta-learning meta-optimization meta-rl metalearning pytorch
Language:Python 2669
sudharsan13296 / Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
deep-meta-learning few-shot-learning meta-reinforcement metalearning one-shot-learning zero-shot-learning
1506
sudharsan13296 / Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
deep-meta-learning few-shot-learning keras maml mann matching-networks meta-imitation-learning meta-sgd metalearning ntm one-shot-learning prototypical-network prototypical-networks reinforcement-learning relation-network reptile shot-learning siamese-network tensorflow zero-shot-learning
Language:Jupyter Notebook 1180
kjunelee / MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
convex-optimization cvpr2019 few-shot few-shot-learning few-shot-recognition image-classification meta-learning metalearning
Language:Python 528
g1910 / HyperNetworks
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
hypernetworks metalearning pytorch resnet
Language:Python 259
gabrielhuang / reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
deep-learning deep-neural-networks few-shot metalearning openai pytorch supervised-learning
Language:Jupyter Notebook 212
dragen1860 / MAML-TensorFlow
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
machine-learning metalearning tensorflow
Language:Python 198
khurramjaved96 / mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
continual machine metalearning representation reprod
Language:Python 195
HLTCHKUST / PAML
Personalizing Dialogue Agents via Meta-Learning
chat-bot learning-to-learn maml meta-learning metalearning persona-chatbot transformer
Language:Jupyter Notebook 128
ealcobaca / pymfe
Python Meta-Feature Extractor package.
automl machine-learning meta-feature meta-features meta-learning metalearning
Language:Python 126
navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
reinforcement-learning pytorch machine-learning deep-learning deep-reinforcement-learning exploration mujoco openai-gym hierarchical metalearning meta rl maml openai gym maml-rl algorithm rlkit mujoco-py robotics
Language:Python 60
hannw / sgrnn
Tensorflow implementation of Synthetic Gradient for RNN (LSTM)
recurrent-neural-networks synthetic-gradients tensorflow rnn dni decoupled-neural-interfaces metalearning lstm
Language:Python 40
DrSasanBarak / metats
MetaTS | Time Series Forecasting using Meta Learning
deep-learning forecasting machine-learning machinelearning metalearning time-series
Language:Python 38
ashishpatel26 / Meta-Learning-
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
metalearning ensemble-learning ensemble machine-learning deeplearning andrew-ng ml dl appliedaicourse coursera cnn keras tensorflow pytorch chainer
27
dscolby / CausalELM.jl
Taking causal inference to the extreme!
causal-inference causal-machine-learning extreme-learning-machine g-computation interrupted-time-series metalearning observational-studies quasi-experimental assumption-check double-machine-learning nonparametric-model sensitivity-analysis metalearner debiased-machine-learning r-learning s-learner t-learner x-learner doubly-robust
Language:Julia 25
catnlp / metaLSTM
Meta Learning for LSTM
lstm metalearning ner nlp pytorch
Language:Python 24
steventango / jumpstart-rl
Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
metalearning reinforcement-learning rl stable-baselines3
Language:Python 24
cvqluu / dropclass_speaker
DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
dropout kaldi machine-learning meta-learning metalearning representation-learning speaker-adaptation speaker-embedding speaker-identification speaker-recognition speaker-verification
Language:Python 22
yuan-yin / CoDA
Generalizing to New Physical Systems via Context-Informed Dynamics Model
contextual-modulation dynamical-systems metalearning ml4physics multitask-learning
Language:Python 22
rovle / gpt3-in-context-fitting
Experiments on GPT-3's ability to fit numerical models in-context.
in-context-learning language-model meta-learning metalearning
Language:Jupyter Notebook 14
Baijiong-Lin / MOML
[NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
deep-learning domain-adaptation metalearning multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning pytorch
Language:Python 13
seujung / SNAIL-gluon
Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon
mxnet gluon metalearning
Language:Python 12
edwin-pan / MetaHDR
Model-Agnostic Meta-Learning for HDR Image Reconstruction. By learning the common structure between all LDR-to-HDR conversion tasks, our model is able to adapt it's predictions given extra exposures of a scene. This novel approach reframes LDR-to-HDR conversion as a meta-learning problem.
metalearning unet hdr hdr-image
Language:Python 10
RobinKa / MetaVAE
Meta-learning by applying MAML to an inner variational auto-encoder to automatically learn generative models with few examples
metalearning maml vae generative-models tensorflow one-shot-learning few-shot-learning machine-learning deep-learning neural-network
Language:Python 10
ealcobaca / meta-padawan
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
autodl automated-machine-learning automl deep-learning deeplearning meta-learning metalearning
Language:Python 9
marlesson / meta-bandit-selector
The Contextual Meta-Bandit (CMB) can be used to select models using the context with online learning based on Reiforcement Learning problem. It's can be used for recommender system ensemble, A/B test, and other dynamic model selector problem.
contextual-bandits machine-learning metalearning recsys
Language:Jupyter Notebook 9
NonlinearArtificialIntelligenceLab / DiversityNN
Code Repository for "Neural networks embrace diversity" paper
deep-learning metalearning pytorch research
Language:Python 8
SewoongLab / RobustMetaLearningMLR
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
metalearning mixture-models robust-statistics neurips-2020 neurips2020 icml-2020 icml2020 icml neurips
Language:Python 8
srikarym / FiLM-for-Meta-Learning
computervision film metalearning reinforcement-learning retro-contest
Language:Python 6
arvintashakori / SemiPFL
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
activity-recognition autoencoder edge federated-learning federated-learning-framework hypernetworks iot metalearning personalized personalized-federated-learning semi-supervised-learning semipfl internet-of-things time-series
Language:Python 5
haghish / autoEnsemble
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
ai algorithm automated-machine-learning automl automl-algorithms ensemble ensemble-learning h2o h2oai machine-learning machinelearning metalearning rstats rstats-package stack-ensemble stacked-ensembles stacking
Language:R 5
Panshark / COLA
Source code for Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
metalearning online reinforcement-learning self-driving-car
Language:Python 5
karthik-d / few-shot-dermoscopic-image-analysis
Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.
deep-learning few-shot-learning isic-challenge skin-lesion-classification embedding-network meta-learning dermoscopy machine-learning metric-learning skin-images transfer-learning imbalanced-data long-tailed-distribution meta-learning-algorithm metalearning skewed-data research skin-lesion papers-with-code research-paper
Language:Python 4
XoriieInpottn / maml-pytorch
MAML implementation in PyTorch.
fewshot-learning maml metalearning miniimagenet pytorch-implementation
Language:Python 4
ZhexiongLiu / Task-Adaptive-Meta-Learning
Paper: Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
metalearning spatial-temporal task-adaptive
Language:Python 4

metalearning

automl / auto-sklearn

learnables / learn2learn

sudharsan13296 / Awesome-Meta-Learning

sudharsan13296 / Hands-On-Meta-Learning-With-Python

kjunelee / MetaOptNet

g1910 / HyperNetworks

gabrielhuang / reptile-pytorch

dragen1860 / MAML-TensorFlow

khurramjaved96 / mrcl

HLTCHKUST / PAML

ealcobaca / pymfe

navneet-nmk / Hierarchical-Meta-Reinforcement-Learning

hannw / sgrnn

DrSasanBarak / metats

ashishpatel26 / Meta-Learning-

dscolby / CausalELM.jl

catnlp / metaLSTM

steventango / jumpstart-rl

cvqluu / dropclass_speaker

yuan-yin / CoDA

rovle / gpt3-in-context-fitting

Baijiong-Lin / MOML

seujung / SNAIL-gluon

edwin-pan / MetaHDR

RobinKa / MetaVAE

ealcobaca / meta-padawan

marlesson / meta-bandit-selector

NonlinearArtificialIntelligenceLab / DiversityNN

SewoongLab / RobustMetaLearningMLR

srikarym / FiLM-for-Meta-Learning

arvintashakori / SemiPFL

haghish / autoEnsemble

Panshark / COLA

karthik-d / few-shot-dermoscopic-image-analysis

XoriieInpottn / maml-pytorch

ZhexiongLiu / Task-Adaptive-Meta-Learning