metalearning
There are 75 repositories under metalearning topic.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
learnables/learn2learn
A PyTorch Library for Meta-learning Research
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
g1910/HyperNetworks
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
gabrielhuang/reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
dragen1860/MAML-TensorFlow
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
khurramjaved96/mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
HLTCHKUST/PAML
Personalizing Dialogue Agents via Meta-Learning
ealcobaca/pymfe
Python Meta-Feature Extractor package.
navneet-nmk/Hierarchical-Meta-Reinforcement-Learning
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
hannw/sgrnn
Tensorflow implementation of Synthetic Gradient for RNN (LSTM)
DrSasanBarak/metats
MetaTS | Time Series Forecasting using Meta Learning
ashishpatel26/Meta-Learning-
Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.
catnlp/metaLSTM
Meta Learning for LSTM
cvqluu/dropclass_speaker
DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
steventango/jumpstart-rl
Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
yuan-yin/CoDA
Generalizing to New Physical Systems via Context-Informed Dynamics Model
dscolby/CausalELM.jl
Taking causal inference to the extreme!
rovle/gpt3-in-context-fitting
Experiments on GPT-3's ability to fit numerical models in-context.
Baijiong-Lin/MOML
Source Code of "Multi-Objective Meta Learning" [NeurIPS 2021]
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.
seujung/SNAIL-gluon
Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon
ealcobaca/meta-padawan
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
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.
RobinKa/MetaVAE
Meta-learning by applying MAML to an inner variational auto-encoder to automatically learn generative models with few examples
NonlinearArtificialIntelligenceLab/DiversityNN
Code Repository for "Neural networks embrace diversity" paper
SewoongLab/RobustMetaLearningMLR
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
haghish/autoEnsemble
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
Panshark/COLA
Source code for Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
arvintashakori/SemiPFL
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
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.
martinkersner/maml
Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
XoriieInpottn/maml-pytorch
MAML implementation in PyTorch.