meta-learning

There are 58 repositories under meta-learning topic.

transferlearning
jindongwang / transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
deep-learning domain-adaptation domain-adaption domain-generalization few-shot few-shot-learning generalization machine-learning meta-learning paper papers representation-learning self-supervised-learning style-transfer survey theory transfer-learning transferlearning tutorial-code unsupervised-learning
Language:Python 14148
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Language:Python 7990
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 2853
floodsung / Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
deep-learning few-shot-learning learning-to-learn meta-learning one-shot-learning
2649
tristandeleu / pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
few-shot-learning meta-learning pytorch
Language:Python 2047
FSL-Mate
tata1661 / FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
deep-learning few-shot few-shot-learning few-shot-paper few-shot-papers low-shot meta-learning one-shot-learning paddlepaddle paper papers
Language:Python 1753
MaximeVandegar / Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
3d aes artificial-intelligence deep-learning diffusion-models educational gans generative-model implementation-of-research-paper inverse-rendering machine-learning meta-learning nerf neural-radiance-fields papers python pytorch reinforcement-learning research rl
Language:Python 1657
oscarknagg / few-shot
Repository for few-shot learning machine learning projects
machine-learning pytorch few-shot-learning research meta-learning maml omniglot miniimagenet
Language:Python 1273
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.
deep-learning few-shot-classifcation few-shot-learning few-shot-recognition image-classification machine-learning meta-learning pytorch
Language:Python 1269
floodsung / LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
few-shot-learning meta-learning
Language:Python 1073
RL-VIG / LibFewShot
[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.
few-shot-learning fine-tuning image-classification meta-learning pytorch
Language:Python 1046
Duan-JM / awesome-papers-fewshot
Collection for Few-shot Learning
awesome-list shot-learning meta-learning few-shot-learning
Language:TeX 991
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.
automl meta-learning automated-feature-engineering hyperparameter-optimization architecture-search model-compression model-acceleration awesome-list neural-architecture-search nas pytorch quantization quantized-neural-network quantized-training tensorflow
854
google-research / meta-dataset
A dataset of datasets for learning to learn from few examples
benchmark few-shot-learning machine-learning maml meta-learning tensorflow
Language:Jupyter Notebook 792
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..
reinforcement-learning tutorial machine-learning q-learning sarsa td-learning policy-gradient deep-reinforcement-learning imitation-learning meta-learning actor-critic pomdps dynamic-programming dyna a3c
Language:Jupyter Notebook 773
meta-transfer-learning
yaoyao-liu / meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
few-shot-learning fewshot-cifar100 meta-learning mini-imagenet tiered-imagenet transfer-learning
Language:Python 773
weimingwill / awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
federated-learning machine-learning data-privacy communication-efficiency federated-optimization differential-privacy-deep-learning distributed-optimization federated-learning-framework privacy meta-learning decentralized-federated-learning statistical-heterogeneity non-iid
Language:Shell 718
google / pyglove
Manipulating Python Programs
automl evolution machine-learning manipulation meta-learning meta-programming python symbolic-programming
Language:Python 692
mbs0221 / Multitask-Learning
Awesome Multitask Learning Resources
multi-task-learning deep-learning sparse-learning domain-adaptation transfer-learning meta-learning few-shot-learning convex-optimization federated-learning machine-learning
672
torchopt
metaopt / torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
functional-programming optimizer pytorch meta-reinforcement-learning deep-learning meta-learning meta-rl bilevel-optimization differentiable-optimization implicit-differentiation optimization differentiable-programming automatic-differentiation
Language:Python 616
EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
attack-defense continual-learning diffusion-models ensemble-learning federated-learning few-shot-learning foundation-models generalization generative-model knowledge-fusion large-language-models llms meta-learning model-fusion model-merging multi-domain-learning multi-task-learning robustness transfer-learning zero-shot-learning
590
kjunelee / MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
convex-optimization cvpr2019 few-shot few-shot-learning few-shot-recognition image-classification meta-learning metalearning
Language:Python 542
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..
deep-learning correlation-filter object-tracking meta-learning computer-vision machine-learning cvpr2017
Language:MATLAB 523
pykale
pykale / pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
machine-learning knowledge-aware-learning computer-vision graph-analysis pytorch medical-image-analysis multimodal-learning transfer-learning domain-adaptation data-science deep-learning meta-learning python multimodal
Language:Python 474
yaoyao-liu / mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
miniimagenet few-shot-learning few-shot mini-imagenet imagenet dataset meta-learning one-shot-learning
Language:Python 455
Sha-Lab / FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
few-shot-learning meta-learning machine-learning computer-vision few-shot cvpr2020
Language:Python 432
ugurkanates / awesome-real-world-rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
awesome awesome-list gans imitation-learning meta-learning reinforcement-learning robotics sim2real simulation
429
ZhangGongjie / Meta-DETR
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
object-detection few-shot-object-detection meta-learning computer-vision pytorch
Language:Python 412
salesforce / DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
deep-learning forecasting implicit-neural-representation meta-learning time-series time-series-forecasting time-series-regression
Language:Python 365
jensen888 / Meta-Learning-Papers
A classified list of meta learning papers based on realm.
deep-learning machine-learning-algorithms machine-learning-theory meta-learning statistical
363
hytseng0509 / CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
domain-generalization few-shot-learning iclr2020 meta-learning
Language:Python 348
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 networks pytorch one-shot meta-learning omniglot miniimagenet
Language:Python 344
betty
leopard-ai / betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
autodiff automatic-differentiation bilevel-optimization meta-learning multilevel-optimization hyperparameter-optimization neural-architecture-search reinforcement-learning artificial-intelligence machine-learning deep-learning implicit-differentiation pytorch
Language:Python 344
EnnengYang / Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
catastrophic-forgetting continual-learning domain-adaptation federated-learning forgetting generative-model machine-learning machine-unlearning meta-learning model-inversion-attacks reinforcement-learning self-supervised-learning data-free-knolwedge-distillation membership-inference-attacks overfitting model-attacks property-inference-attacks beneficial-forgetting coreset-selection deep-learning
330
openml / openml-python
OpenML's Python API for a World of Data and More 💫
openml machine-learning python meta-learning benchmarking data tabular-data datascience
Language:Python 311
MetaRec
khanhnamle1994 / MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
deep-learning recommender-systems collaborative-filtering movielens-dataset matrix-factorization multilayer-perceptron autoencoders pytorch wandb tensorboard tensorflow ranking django cometml meta-learning boltzmann-machines
Language:Python 307

meta-learning

jindongwang / transferlearning

automl / auto-sklearn

learnables / learn2learn

floodsung / Meta-Learning-Papers

tristandeleu / pytorch-meta

tata1661 / FSL-Mate

MaximeVandegar / Papers-in-100-Lines-of-Code

oscarknagg / few-shot

sicara / easy-few-shot-learning

floodsung / LearningToCompare_FSL

RL-VIG / LibFewShot

Duan-JM / awesome-papers-fewshot

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

google-research / meta-dataset

omerbsezer / Reinforcement_learning_tutorial_with_demo

yaoyao-liu / meta-transfer-learning

weimingwill / awesome-federated-learning

google / pyglove

mbs0221 / Multitask-Learning

metaopt / torchopt

EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications

kjunelee / MetaOptNet

bertinetto / cfnet

pykale / pykale

yaoyao-liu / mini-imagenet-tools

Sha-Lab / FEAT

ugurkanates / awesome-real-world-rl

ZhangGongjie / Meta-DETR

salesforce / DeepTime

jensen888 / Meta-Learning-Papers

hytseng0509 / CrossDomainFewShot

gitabcworld / MatchingNetworks

leopard-ai / betty

EnnengYang / Awesome-Forgetting-in-Deep-Learning

openml / openml-python

khanhnamle1994 / MetaRec