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meta-learning

Here are 374 public repositories matching this topic...

transferlearning

jindongwang / transferlearning

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 meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption

Updated May 19, 2022
Python

automl / auto-sklearn

Open

Can Autosklearn handle Multi-Class/Multi-Label Classification and which classifiers will it use?

8

asmgx commented Mar 25, 2022

I have been trying to use AutoSklearn with Multi-class classification

so my labels are like this

0 1 2 3 4 ... 200
1 0 1 1 1 ... 1
0 1 0 0 1 ... 0
1 0 0 1 0 ... 0
1 1 0 1 0 ... 1
0 1 1 0 1 ... 0
1 1 1 0 0 ... 1
1 0 1 0 1 ... 0

I used this code

`
y = y[:, (65,67,54,133,122,63,102

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question documentation Good first issue

Open

Export asklearn2 predictions to improve start up time

11

Open

Update a component

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floodsung / Meta-Learning-Papers

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

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

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

pytorch meta-learning few-shot-learning

Updated Jan 10, 2022
Python

FSL-Mate

tata1661 / FSL-Mate

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

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

Updated May 12, 2022
Python

floodsung / LearningToCompare_FSL

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

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

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

Collection for Few-shot Learning

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

Updated Nov 10, 2021
TeX

google-research / meta-dataset

A dataset of datasets for learning to learn from few examples

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

Updated Mar 22, 2022
Python

meta-transfer-learning

yaoyao-liu / meta-transfer-learning

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

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

RL-VIG / LibFewShot

LibFewShot: A Comprehensive Library for Few-shot Learning.

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

Updated May 9, 2022
Python

bertinetto / cfnet

[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

mbs0221 / Multitask-Learning

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

kjunelee / MetaOptNet

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

Sha-Lab / FEAT

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

weimingwill / awesome-federated-learning

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 Apr 24, 2022
Shell

yaoyao-liu / mini-imagenet-tools

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

gitabcworld / MatchingNetworks

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

ugurkanates / awesome-real-world-rl

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

tianheyu927 / mil

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

deep-learning robotics imitation-learning meta-learning

Updated Oct 8, 2018
Python

oneHuster / Meta-Learning-Papers

A classified list of meta learning papers based on realm.

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

Updated Apr 22, 2022

hytseng0509 / CrossDomainFewShot

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

easy-few-shot-learning

sicara / easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

machine-learning deep-learning pytorch image-classification meta-learning few-shot-learning few-shot-recognition few-shot-classifcation

Updated May 5, 2022
Python

openml / openml-python

Sponsor

Open

Default `output_format` to `"dataframe"`

3

PGijsbers commented Oct 5, 2021

I propose that the several functions that take the ouput_format parameter and produce lists change their defaults to return dataframes instead of dictionaries (e.g. list_datasets).
I think originally we had loose integration with pandas and it was an optional dependency, but since it's a required dependency now I don't see a reason to provide dicts as default over dataframes. I'd argue

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enhancement Feature request Good First Issue

Open

`list_tasks` docstring outdated.

5

Open

`TypeError` raised by trying to get the `repr` of a locally created task

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JWSoh / MZSR

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

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

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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