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meta-learning

Here are 196 public repositories matching this topic...

automl / auto-sklearn

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Open

Enable Power Transformations

1

mfeurer commented Feb 4, 2019

with the Power Transformer.

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Good first issue

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TimeSeries Split

19

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Avoid costly re-building of pipelines

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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

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 Aug 31, 2020
Python

learn2learn

learnables / learn2learn

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Add more tutorials

1

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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good first issue help wanted

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

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 Sep 3, 2020

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

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

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

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 Aug 31, 2020
Python

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

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 10, 2020
Python

Duan-JM / awesome-papers-fewshot

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Collection for Few-shot Learning

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

Updated Sep 9, 2020
TeX

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 Jul 17, 2020

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

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

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

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 Aug 7, 2020

openml / openml-python

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Open

Attributes are not documented?!

1

amueller commented Jun 19, 2019

It looks like none of the classes document their attributes. They really should.

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Documentation Good first issue

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Improve contribution guidelines

15

Open

Handle 404 responses separately

7

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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 Sep 9, 2020
Python

jonasrothfuss / ProMP

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ProMP: Proximal Meta-Policy Search

reinforcement-learning meta-learning

Updated Sep 6, 2019
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 Jul 31, 2020

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

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

xjtushujun / meta-weight-net

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NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

class-imbalance meta-learning noisy-labels sample-reweighting

Updated May 20, 2020
Python

iwasaki-kenta / keita

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My personal toolkit for PyTorch development.

machine-learning natural-language-processing library computer-vision pytorch meta-learning

Updated Aug 19, 2017
Python

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 May 13, 2020
Python

allenai / savn

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Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

reinforcement-learning self-adaptive meta-learning ai2thor-environment

Updated Oct 22, 2019
Python

icoz69 / CaNet

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The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

segmentation meta-learning few-shot-learning cvpr2019

Updated Jun 6, 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 Sep 11, 2020

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