metalearning

There are 14 repositories under metalearning topic.

automl / auto-sklearn
Automated Machine Learning with scikit-learn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac
Language:Python 7394
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 2532
sudharsan13296 / Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
metalearning one-shot-learning zero-shot-learning few-shot-learning deep-meta-learning meta-reinforcement
1469
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 1133
kjunelee / MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
meta-learning few-shot convex-optimization few-shot-learning image-classification few-shot-recognition cvpr2019 metalearning
Language:Python 514
g1910 / HyperNetworks
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
hypernetworks metalearning pytorch resnet
Language:Python 245
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 199
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 194
khurramjaved96 / mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
continual machine metalearning representation reprod
Language:Python 189
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 121
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 59
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
forecasting metalearning machinelearning deep-learning machine-learning time-series
Language:Python 31
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
catnlp / metaLSTM
Meta Learning for LSTM
metalearning pytorch lstm ner nlp
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 21
dscolby / CausalELM.jl
Taking causal inference to the extreme!
assumption-check causal-inference causal-machine-learning debiased-machine-learning double-machine-learning doubly-robust extreme-learning-machine g-computation interrupted-time-series metalearner metalearning nonparametric-model observational-studies quasi-experimental r-learning s-learner sensitivity-analysis t-learner x-learner
Language:Julia 17
steventango / jumpstart-rl
Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
metalearning reinforcement-learning rl stable-baselines3
Language:Python 17
yuan-yin / CoDA
Generalizing to New Physical Systems via Context-Informed Dynamics Model
contextual-modulation dynamical-systems metalearning multitask-learning ml4physics
Language:Python 16
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
Source Code of "Multi-Objective Meta Learning" [NeurIPS 2021]
pytorch metalearning multitask-learning domain-adaptation deep-learning multi-task-learning multiobjective-optimization multi-objective-optimization
Language:Python 12
seujung / SNAIL-gluon
Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon
mxnet gluon metalearning
Language:Python 11
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.
hdr hdr-image metalearning unet
Language:Python 10
ealcobaca / meta-padawan
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
meta-learning metalearning deep-learning deeplearning automl automated-machine-learning autodl
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.
recsys contextual-bandits machine-learning metalearning
Language:Jupyter Notebook 9
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 9
NonlinearArtificialIntelligenceLab / DiversityNN
Code Repository for "Neural networks embrace diversity" paper
deep-learning pytorch metalearning 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
Panshark / COLA
Source code for Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
online self-driving-car metalearning reinforcement-learning
Language:Python 5
srikarym / FiLM-for-Meta-Learning
film metalearning reinforcement-learning computervision retro-contest
Language:Python 5
bkj / mammoth
Hyperparameter tuning via gradient descent
metalearning
Language:Python 4
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 isic-2018 isic-2019 skin-lesion
Language:Python 4
XoriieInpottn / maml-pytorch
MAML implementation in PyTorch.
maml metalearning fewshot-learning miniimagenet pytorch-implementation
Language:Python 4
csiro-robotics / MDL
🔥[IEEE TPAMI 2023] Official repository TPAMI 2023 paper "Exploiting Field Dependencies for Learning on Categorical Data"
categorical-data deep deeplearning embeddings metalearning representation-learning
Language:Python 3
ZhexiongLiu / Task-Adaptive-Meta-Learning
Paper: Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability.
metalearning spatial-temporal task-adaptive
Language:Python 3

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-

catnlp / metaLSTM

cvqluu / dropclass_speaker

dscolby / CausalELM.jl

steventango / jumpstart-rl

yuan-yin / CoDA

rovle / gpt3-in-context-fitting

Baijiong-Lin / MOML

seujung / SNAIL-gluon

edwin-pan / MetaHDR

ealcobaca / meta-padawan

marlesson / meta-bandit-selector

RobinKa / MetaVAE

NonlinearArtificialIntelligenceLab / DiversityNN

SewoongLab / RobustMetaLearningMLR

Panshark / COLA

srikarym / FiLM-for-Meta-Learning

bkj / mammoth

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

XoriieInpottn / maml-pytorch

csiro-robotics / MDL

ZhexiongLiu / Task-Adaptive-Meta-Learning