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meta-learning

Here are 329 public repositories matching this topic...

transferlearning

jindongwang / transferlearning

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning domainadaptation meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization

Updated Nov 7, 2021
Python

automl / auto-sklearn

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Open

TimeSeries Split

20

kanchanapadmanabhan commented Jun 26, 2018

The problem I want to use auto-sklearn on is a time-series. Can we modify sklearn to include cv with time series?

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Good first issue

Open

Avoid costly re-building of pipelines

1

Open

convert to scikit learn code.

4

Find more good first issues

floodsung / Meta-Learning-Papers

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Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

deep-learning one-shot-learning meta-learning few-shot-learning learning-to-learn

Updated Nov 26, 2018

learn2learn

learnables / learn2learn

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Open

Add more tutorials

2

seba-1511 commented Mar 3, 2020

As suggested on Reddit, it would be nice to have more tutorials.

A simple idea is to base them on our existing examples. The tutorial could explain how each implemented method works

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help wanted good first issue

tristandeleu / pytorch-meta

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A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch meta-learning few-shot-learning

Updated Sep 20, 2021
Python

FSL-Mate

tata1661 / FSL-Mate

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FSL-Mate: A collection of resources for few-shot learning (FSL).

deep-learning paper papers one-shot-learning paddlepaddle meta-learning few-shot-learning low-shot few-shot-paper few-shot-papers

Updated Oct 7, 2021
Python

floodsung / LearningToCompare_FSL

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PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

meta-learning few-shot-learning

Updated Oct 22, 2019
Python

oscarknagg / few-shot

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Repository for few-shot learning machine learning projects

machine-learning research pytorch maml meta-learning omniglot miniimagenet few-shot-learning

Updated Nov 25, 2019
Python

guan-yuan / awesome-AutoML-and-Lightweight-Models

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A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network

Updated Jun 19, 2021

Duan-JM / awesome-papers-fewshot

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Collection for Few-shot Learning

awesome-list meta-learning shot-learning few-shot-learning

Updated Nov 7, 2021
TeX

google-research / meta-dataset

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A dataset of datasets for learning to learn from few examples

benchmark machine-learning tensorflow maml meta-learning few-shot-learning

Updated Sep 8, 2021
Python

meta-transfer-learning

yaoyao-liu / meta-transfer-learning

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TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

transfer-learning meta-learning few-shot-learning mini-imagenet tiered-imagenet fewshot-cifar100

Updated Sep 7, 2021
Python

omerbsezer / Reinforcement_learning_tutorial_with_demo

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Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

machine-learning tutorial reinforcement-learning deep-reinforcement-learning q-learning pomdps policy-gradient sarsa a3c dynamic-programming imitation-learning dyna td-learning actor-critic meta-learning

Updated Jan 22, 2019
Jupyter Notebook

bertinetto / cfnet

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[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

machine-learning computer-vision deep-learning object-tracking meta-learning cvpr2017 correlation-filter

Updated May 31, 2018
MATLAB

kjunelee / MetaOptNet

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Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

image-classification convex-optimization meta-learning few-shot metalearning few-shot-learning few-shot-recognition cvpr2019

Updated Nov 9, 2019
Python

mbs0221 / Multitask-Learning

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Awesome Multitask Learning Resources

machine-learning deep-learning transfer-learning convex-optimization domain-adaptation multi-task-learning meta-learning federated-learning few-shot-learning sparse-learning

Updated Apr 13, 2021

RL-VIG / LibFewShot

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LibFewShot: A Comprehensive Library for Few-shot Learning.

pytorch image-classification meta-learning fine-tuning few-shot-learning

Updated Nov 7, 2021
Python

Hyperactive

SimonBlanke / Hyperactive

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An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

python metadata data-science machine-learning deep-learning optimization scikit-learn parallel-computing keras pytorch artificial-intelligence xgboost hyperparameter-optimization feature-engineering bayesian-optimization automated-machine-learning parameter-tuning neural-architecture-search meta-learning meta-heuristics

Updated Oct 15, 2021
Python

Sha-Lab / FEAT

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The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

machine-learning computer-vision meta-learning few-shot few-shot-learning cvpr2020

Updated Jul 31, 2020
Python

gitabcworld / MatchingNetworks

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This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

matching pytorch networks meta-learning one-shot omniglot miniimagenet

Updated Oct 19, 2017
Python

yaoyao-liu / mini-imagenet-tools

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Tools for generating mini-ImageNet dataset and processing batches

dataset imagenet one-shot-learning meta-learning miniimagenet few-shot few-shot-learning mini-imagenet

Updated Oct 30, 2020
Python

tianheyu927 / mil

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Code for "One-Shot Visual Imitation Learning via Meta-Learning"

deep-learning robotics imitation-learning meta-learning

Updated Oct 8, 2018
Python

ugurkanates / awesome-real-world-rl

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Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

awesome reinforcement-learning robotics simulation awesome-list gans imitation-learning meta-learning sim2real

Updated Sep 27, 2020

weimingwill / awesome-federated-learning

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All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

machine-learning privacy data-privacy distributed-optimization meta-learning federated-learning federated-optimization differential-privacy-deep-learning federated-learning-framework decentralized-federated-learning communication-efficiency statistical-heterogeneity

Updated Oct 28, 2021
Shell

openml / openml-python

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Python module to interface with OpenML

python machine-learning openml hacktoberfest meta-learning

Updated Nov 3, 2021
Python

hytseng0509 / CrossDomainFewShot

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Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

meta-learning few-shot-learning domain-generalization iclr2020

Updated Apr 12, 2020
Python

oneHuster / Meta-Learning-Papers

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A classified list of meta learning papers based on realm.

deep-learning machine-learning-algorithms statistical machine-learning-theory meta-learning

Updated Oct 12, 2021

JWSoh / MZSR

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Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

super-resolution zero-shot meta-learning meta-transfer-learning

Updated Sep 21, 2020
Python

ha-lins / MetaLearning4NLP-Papers

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A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

nlp dialogue-systems semantic-parsing papers-collection meta-learning low-resource few-shot-learning

Updated Dec 29, 2020

openai / EPG

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Code for the paper "Evolved Policy Gradients"

machine-learning reinforcement-learning paper evolutionary-strategy continuous-control meta-learning

Updated Nov 22, 2018
Python

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