Topic: meta-learning Goto Github

👇 Here are 584 public repositories matching this topic...

automl / auto-sklearn
meta-learning,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac

bayeswatch / deep-kernel-transfer
meta-learning,Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Organization: bayeswatch
Home Page: https://arxiv.org/abs/1910.05199
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch

bertinetto / cfnet
meta-learning,[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
User: bertinetto
deep-learning correlation-filter object-tracking meta-learning computer-vision machine-learning cvpr2017

cnguyen10 / few_shot_meta_learning
meta-learning,Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
User: cnguyen10
meta-learning maml prototypical-network pytorch algorithms

duan-jm / awesome-papers-fewshot
meta-learning,Collection for Few-shot Learning
User: duan-jm
awesome-list shot-learning meta-learning few-shot-learning

ennengyang / awesome-forgetting-in-deep-learning
meta-learning,A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
User: ennengyang
Home Page: https://arxiv.org/abs/2307.09218
catastrophic-forgetting continual-learning domain-adaptation federated-learning forgetting generative-model machine-learning machine-unlearning meta-learning model-inversion-attacks

ennengyang / awesome-model-merging-methods-theories-applications
meta-learning,Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
User: ennengyang
Home Page: https://arxiv.org/abs/2408.07666
attack-defense continual-learning ensemble-learning federated-learning generalization generative-model large-language-models model-fusion model-merging multi-domain-learning

floodsung / learningtocompare_fsl
meta-learning,PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
User: floodsung
few-shot-learning meta-learning

floodsung / meta-learning-papers
meta-learning,Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
User: floodsung
deep-learning meta-learning one-shot-learning learning-to-learn few-shot-learning

gitabcworld / matchingnetworks
meta-learning,This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
User: gitabcworld
matching networks pytorch one-shot meta-learning omniglot miniimagenet

google-research / meta-dataset
meta-learning,A dataset of datasets for learning to learn from few examples
Organization: google-research
benchmark few-shot-learning machine-learning maml meta-learning tensorflow

google / pyglove
meta-learning,Manipulating Python Programs
Organization: google
automl evolution machine-learning meta-learning meta-programming symbolic-programming manipulation python

guan-yuan / awesome-automl-and-lightweight-models
meta-learning,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.
User: guan-yuan
automl meta-learning automated-feature-engineering hyperparameter-optimization architecture-search model-compression model-acceleration awesome-list neural-architecture-search nas

ha-lins / metalearning4nlp-papers
meta-learning,A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
User: ha-lins
meta-learning few-shot-learning nlp low-resource dialogue-systems semantic-parsing papers-collection

hytseng0509 / crossdomainfewshot
meta-learning,Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
User: hytseng0509
few-shot-learning meta-learning domain-generalization iclr2020

jindongwang / transferlearning
meta-learning,Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
User: jindongwang
Home Page: http://transferlearning.xyz/
transferlearning domain-adaptation transfer-learning survey deep-learning generalization few-shot tutorial-code theory papers

jonasrothfuss / promp
meta-learning,Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.
User: jonasrothfuss
Home Page: https://sites.google.com/view/pro-mp
reinforcement-learning meta-learning machine-learning

jwsoh / mzsr
meta-learning,Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
User: jwsoh
super-resolution meta-transfer-learning meta-learning zero-shot

kevinmin95 / stylespeech
meta-learning,Official implementation of Meta-StyleSpeech and StyleSpeech
User: kevinmin95
stylespeech meta-stylespeech official tts meta-learning text-to-speech neural-tts speech-synthesis speech

khanhnamle1994 / metarec
meta-learning,PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
User: khanhnamle1994
deep-learning recommender-systems collaborative-filtering movielens-dataset matrix-factorization multilayer-perceptron autoencoders pytorch wandb tensorboard

kjunelee / metaoptnet
meta-learning,Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
User: kjunelee
meta-learning few-shot convex-optimization few-shot-learning image-classification few-shot-recognition cvpr2019 metalearning

learnables / learn2learn
meta-learning,A PyTorch Library for Meta-learning Research
Organization: learnables
Home Page: http://learn2learn.net
pytorch maml meta-learning learning2learn learn2learn metalearning few-shot meta-rl meta-descent meta-optimization

leopard-ai / betty
meta-learning,Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Organization: leopard-ai
Home Page: https://leopard-ai.github.io/betty/
autodiff automatic-differentiation bilevel-optimization meta-learning multilevel-optimization hyperparameter-optimization neural-architecture-search reinforcement-learning artificial-intelligence machine-learning

maximevandegar / papers-in-100-lines-of-code
meta-learning,Implementation of papers in 100 lines of code.
User: maximevandegar
python research deep-learning machine-learning implementation-of-research-paper educational pytorch papers generative-model inverse-rendering

mbs0221 / multitask-learning
meta-learning,Awesome Multitask Learning Resources
User: mbs0221
multi-task-learning deep-learning sparse-learning domain-adaptation transfer-learning meta-learning few-shot-learning convex-optimization federated-learning machine-learning

metaopt / torchopt
meta-learning,TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Organization: metaopt
Home Page: https://torchopt.readthedocs.io
functional-programming optimizer pytorch meta-reinforcement-learning deep-learning meta-learning meta-rl bilevel-optimization differentiable-optimization implicit-differentiation

msuzen / looper
meta-learning,A resource list for causality in statistics, data science and physics
User: msuzen
statistics statistical-inference bayesian-inference causality-analysis causality data-science physics machine-learning causal-inference meta-learning

omerbsezer / reinforcement_learning_tutorial_with_demo
meta-learning,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..
User: omerbsezer
reinforcement-learning tutorial machine-learning q-learning sarsa td-learning policy-gradient deep-reinforcement-learning imitation-learning meta-learning

onehuster / meta-learning-papers
meta-learning,A classified list of meta learning papers based on realm.
User: onehuster
meta-learning deep-learning machine-learning-algorithms statistical machine-learning-theory

openai / epg
meta-learning,Code for the paper "Evolved Policy Gradients"
Organization: openai
Home Page: https://arxiv.org/abs/1802.04821
machine-learning reinforcement-learning evolutionary-strategy continuous-control meta-learning paper

openml / openml-python
meta-learning,OpenML's Python API for a World of Data and More 💫
Organization: openml
Home Page: http://openml.github.io/openml-python/
openml machine-learning python meta-learning benchmarking data tabular-data datascience

oscarknagg / few-shot
meta-learning,Repository for few-shot learning machine learning projects
User: oscarknagg
machine-learning pytorch few-shot-learning research meta-learning maml omniglot miniimagenet

paddlepaddle / metagym
meta-learning,Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
Organization: paddlepaddle
reinforcement-learning meta-learning maze lift quadrotor quadrupedal-robots navigator gym-environments

pykale / pykale
meta-learning,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
Organization: pykale
Home Page: https://pykale.github.io/
machine-learning knowledge-aware-learning computer-vision graph-analysis pytorch medical-image-analysis multimodal-learning transfer-learning domain-adaptation data-science

rl-vig / libfewshot
meta-learning,LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Organization: rl-vig
few-shot-learning meta-learning fine-tuning image-classification pytorch

salesforce / deeptime
meta-learning,PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
Organization: salesforce
deep-learning forecasting meta-learning time-series time-series-forecasting time-series-regression implicit-neural-representation

sha-lab / feat
meta-learning,The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Organization: sha-lab
few-shot-learning meta-learning machine-learning computer-vision few-shot cvpr2020

shirleyzhu233 / pytorch-maml
meta-learning,A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
User: shirleyzhu233
meta-learning few-shot-learning deep-learning maml

sicara / easy-few-shot-learning
meta-learning,Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Organization: sicara
few-shot-learning few-shot-recognition few-shot-classifcation meta-learning machine-learning pytorch image-classification deep-learning

tata1661 / fsl-mate
meta-learning,FSL-Mate: A collection of resources for few-shot learning (FSL).
User: tata1661
few-shot-learning one-shot-learning meta-learning low-shot deep-learning papers few-shot-paper few-shot-papers paper paddlepaddle

tianheyu927 / mil
meta-learning,Code for "One-Shot Visual Imitation Learning via Meta-Learning"
User: tianheyu927
Home Page: https://sites.google.com/view/one-shot-imitation
meta-learning imitation-learning robotics deep-learning

tristandeleu / pytorch-meta
meta-learning,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
User: tristandeleu
Home Page: https://tristandeleu.github.io/pytorch-meta/
few-shot-learning meta-learning pytorch

ugurkanates / awesome-real-world-rl
meta-learning,Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
User: ugurkanates
reinforcement-learning sim2real meta-learning robotics imitation-learning gans simulation awesome-list awesome

vita-group / open-l2o
meta-learning,Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Organization: vita-group
learning-to-learn meta-learning learning-to-optimize lasso neural-networks convex-optimization nonconvex-optimization

weimingwill / awesome-federated-learning
meta-learning,All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
User: weimingwill
Home Page: https://github.com/EasyFL-AI/EasyFL
federated-learning machine-learning data-privacy communication-efficiency federated-optimization differential-privacy-deep-learning distributed-optimization federated-learning-framework privacy meta-learning

xjtushujun / meta-weight-net
meta-learning,NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
User: xjtushujun
meta-learning sample-reweighting noisy-labels class-imbalance

yanndubs / neural-process-family
meta-learning,Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
User: yanndubs
Home Page: https://yanndubs.github.io/Neural-Process-Family/
neural-processes conditional-neural-process machine-learning deep-learning meta-learning stochastic-processes pytorch uncertainty-estimation

yaoyao-liu / meta-transfer-learning
meta-learning,TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
User: yaoyao-liu
Home Page: https://lyy.mpi-inf.mpg.de/mtl/
few-shot-learning meta-learning transfer-learning mini-imagenet tiered-imagenet fewshot-cifar100

yaoyao-liu / mini-imagenet-tools
meta-learning,Tools for generating mini-ImageNet dataset and processing batches
User: yaoyao-liu
Home Page: https://mtl.yyliu.net/datasets/
miniimagenet few-shot-learning few-shot mini-imagenet imagenet dataset meta-learning one-shot-learning

zhanggongjie / meta-detr
meta-learning,[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
User: zhanggongjie
object-detection few-shot-object-detection meta-learning computer-vision pytorch