meta-learning
There are 555 repositories under meta-learning topic.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
automl/auto-sklearn
Automated Machine Learning with scikit-learn
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
learnables/learn2learn
A PyTorch Library for Meta-learning Research
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
oscarknagg/few-shot
Repository for few-shot learning machine learning projects
floodsung/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Duan-JM/awesome-papers-fewshot
Collection for 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.
RL-VIG/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
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.
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
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..
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
mbs0221/Multitask-Learning
Awesome Multitask Learning Resources
MaximeVandegar/Papers-in-100-Lines-of-Code
Implementation of papers in 100 lines of code.
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..
kjunelee/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
metaopt/torchopt
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
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!
yaoyao-liu/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
Sha-Lab/FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
ZhangGongjie/Meta-DETR
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
salesforce/DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
oneHuster/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
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
leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
hytseng0509/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
google/pyglove
Manipulating Python Programs
ugurkanates/awesome-real-world-rl
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
khanhnamle1994/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
tianheyu927/mil
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
xjtushujun/meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
openml/openml-python
Python module to interface with OpenML